InitialisationActivationFunctions.ipynb

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            "grid_auto_rows": null,
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            "_view_module_version": "1.2.0",
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            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
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            "left": null
          }
        },
        "cd533bcf32ac4abb9f9b67c9cd601bde": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b098a9e85262477ba30ec30f04029409": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
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            "overflow_x": null,
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            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
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            "visibility": null,
            "align_self": null,
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            "_view_module_version": "1.2.0",
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          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MMkrXXWZQ42d"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JDe7l4fxQ6J9"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.colors\n",
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score, mean_squared_error, log_loss\n",
        "from tqdm.notebook import tqdm\n",
        "import seaborn as sns\n",
        "import imageio\n",
        "import time\n",
        "from IPython.display import HTML\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "from sklearn.datasets import make_blobs"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CuCO-2rqQ_zb"
      },
      "source": [
        "my_cmap = matplotlib.colors.LinearSegmentedColormap.from_list(\"\", [\"red\",\"yellow\",\"green\"])"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O3JppMc9IIpU"
      },
      "source": [
        "np.random.seed(0)"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1Yum3QoCRDku"
      },
      "source": [
        "## Generate data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Shf39PcRCub",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "481d34ac-96d1-4e6c-a863-cd467e52b2e1"
      },
      "source": [
        "data, labels = make_blobs(n_samples=1000, centers=4, n_features=2, random_state=0)\n",
        "print(data.shape, labels.shape)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(1000, 2) (1000,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TTbXyK2kReWT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "outputId": "85783055-1ee3-4da2-8401-ccb0eab4dcd7"
      },
      "source": [
        "plt.scatter(data[:,0], data[:,1], c=labels, cmap=my_cmap)\n",
        "plt.show()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NegH_BURRwep"
      },
      "source": [
        "labels_orig = labels\n",
        "labels = np.mod(labels_orig, 2)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rLpsoFqkPWCA"
      },
      "source": [
        "## Multi class classification"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Oc-rmmXDusH2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4163cdec-d57e-4781-bf0c-25a88360e441"
      },
      "source": [
        "X_train, X_val, Y_train, Y_val = train_test_split(data, labels_orig, stratify=labels_orig, random_state=0)\n",
        "print(X_train.shape, X_val.shape, labels_orig.shape)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(750, 2) (250, 2) (1000,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r8ktticiusH6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "53163b3a-9942-45c8-e2fe-faaa4f85e3c0"
      },
      "source": [
        "enc = OneHotEncoder()\n",
        "# 0 -> (1, 0, 0, 0), 1 -> (0, 1, 0, 0), 2 -> (0, 0, 1, 0), 3 -> (0, 0, 0, 1)\n",
        "y_OH_train = enc.fit_transform(np.expand_dims(Y_train,1)).toarray()\n",
        "y_OH_val = enc.fit_transform(np.expand_dims(Y_val,1)).toarray()\n",
        "print(y_OH_train.shape, y_OH_val.shape)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(750, 4) (250, 4)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3e_XHuXLuiIr"
      },
      "source": [
        "## FF Class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "56b9dhttuiIw",
        "cellView": "both"
      },
      "source": [
        "class FFNetwork:\n",
        "  \n",
        "  def __init__(self, init_method = 'random', activation_function = 'sigmoid', leaky_slope = 0.1):\n",
        "        \n",
        "    self.params={}\n",
        "    self.params_h = []\n",
        "    self.num_layers=2\n",
        "    self.layer_sizes = [2, 2, 4]\n",
        "    self.activation_function = activation_function\n",
        "    self.leaky_slope = leaky_slope\n",
        "    \n",
        "    np.random.seed(0)\n",
        "    \n",
        "    if init_method == \"random\":\n",
        "      for i in range(1,self.num_layers+1):\n",
        "        self.params[\"W\"+str(i)] = np.random.randn(self.layer_sizes[i-1],self.layer_sizes[i])\n",
        "        self.params[\"B\"+str(i)] = np.random.randn(1,self.layer_sizes[i])\n",
        "        \n",
        "    elif init_method == \"he\":\n",
        "      for i in range(1,self.num_layers+1):\n",
        "        self.params[\"W\"+str(i)] = np.random.randn(self.layer_sizes[i-1],self.layer_sizes[i])*np.sqrt(2/self.layer_sizes[i-1])\n",
        "        self.params[\"B\"+str(i)] = np.random.randn(1,self.layer_sizes[i])\n",
        "        \n",
        "    elif init_method == \"xavier\":\n",
        "      for i in range(1,self.num_layers+1):\n",
        "        self.params[\"W\"+str(i)]=np.random.randn(self.layer_sizes[i-1],self.layer_sizes[i])*np.sqrt(1/self.layer_sizes[i-1])\n",
        "        self.params[\"B\"+str(i)]=np.random.randn(1,self.layer_sizes[i])\n",
        "        \n",
        "    elif init_method == \"zeros\":\n",
        "      for i in range(1,self.num_layers+1):\n",
        "        self.params[\"W\"+str(i)]=np.zeros((self.layer_sizes[i-1],self.layer_sizes[i]))\n",
        "        self.params[\"B\"+str(i)]=np.zeros((1,self.layer_sizes[i]))\n",
        "    \n",
        "    self.gradients={}\n",
        "    self.update_params={}\n",
        "    self.prev_update_params={}\n",
        "    for i in range(1,self.num_layers+1):\n",
        "      self.update_params[\"v_w\"+str(i)]=0\n",
        "      self.update_params[\"v_b\"+str(i)]=0\n",
        "      self.update_params[\"m_b\"+str(i)]=0\n",
        "      self.update_params[\"m_w\"+str(i)]=0\n",
        "      self.prev_update_params[\"v_w\"+str(i)]=0\n",
        "      self.prev_update_params[\"v_b\"+str(i)]=0\n",
        "  \n",
        "  def forward_activation(self, X): \n",
        "    if self.activation_function == \"sigmoid\":\n",
        "      return 1.0/(1.0 + np.exp(-X))\n",
        "    elif self.activation_function == \"tanh\":\n",
        "      return np.tanh(X)\n",
        "    elif self.activation_function == \"relu\":\n",
        "      return np.maximum(0,X)\n",
        "    elif self.activation_function == \"leaky_relu\":\n",
        "      return np.maximum(self.leaky_slope*X,X)\n",
        "      \n",
        "  def grad_activation(self, X):\n",
        "    if self.activation_function == \"sigmoid\":\n",
        "      return X*(1-X) \n",
        "    elif self.activation_function == \"tanh\":\n",
        "      return (1-np.square(X))\n",
        "    elif self.activation_function == \"relu\":\n",
        "      return 1.0*(X>0)\n",
        "    elif self.activation_function == \"leaky_relu\":\n",
        "      d=np.zeros_like(X)\n",
        "      d[X<=0]=self.leaky_slope\n",
        "      d[X>0]=1\n",
        "      return d\n",
        "\n",
        "  def softmax(self, X):\n",
        "    exps = np.exp(X)\n",
        "    return exps / np.sum(exps, axis=1).reshape(-1,1)\n",
        "  \n",
        "  def forward_pass(self, X, params = None):\n",
        "    if params is None:\n",
        "        params = self.params\n",
        "    self.A1 = np.matmul(X, params[\"W1\"]) + params[\"B1\"] # (N, 2) * (2, 2) -> (N, 2)\n",
        "    self.H1 = self.forward_activation(self.A1) # (N, 2)\n",
        "    self.A2 = np.matmul(self.H1, params[\"W2\"]) + params[\"B2\"] # (N, 2) * (2, 4) -> (N, 4)\n",
        "    self.H2 = self.softmax(self.A2) # (N, 4)\n",
        "    return self.H2\n",
        "  \n",
        "  def grad(self, X, Y, params = None):\n",
        "    if params is None:\n",
        "      params = self.params \n",
        "      \n",
        "    self.forward_pass(X, params)\n",
        "    m = X.shape[0]\n",
        "    self.gradients[\"dA2\"] = self.H2 - Y # (N, 4) - (N, 4) -> (N, 4)\n",
        "    self.gradients[\"dW2\"] = np.matmul(self.H1.T, self.gradients[\"dA2\"]) # (2, N) * (N, 4) -> (2, 4)\n",
        "    self.gradients[\"dB2\"] = np.sum(self.gradients[\"dA2\"], axis=0).reshape(1, -1) # (N, 4) -> (1, 4)\n",
        "    self.gradients[\"dH1\"] = np.matmul(self.gradients[\"dA2\"], params[\"W2\"].T) # (N, 4) * (4, 2) -> (N, 2)\n",
        "    self.gradients[\"dA1\"] = np.multiply(self.gradients[\"dH1\"], self.grad_activation(self.H1)) # (N, 2) .* (N, 2) -> (N, 2)\n",
        "    self.gradients[\"dW1\"] = np.matmul(X.T, self.gradients[\"dA1\"]) # (2, N) * (N, 2) -> (2, 2)\n",
        "    self.gradients[\"dB1\"] = np.sum(self.gradients[\"dA1\"], axis=0).reshape(1, -1) # (N, 2) -> (1, 2)\n",
        "    \n",
        "  def fit(self, X, Y, epochs=1, algo= \"GD\", display_loss=False, \n",
        "          eta=1, mini_batch_size=100, eps=1e-8,  \n",
        "          beta=0.9, beta1=0.9, beta2=0.9, gamma=0.9 ):\n",
        "      \n",
        "    if display_loss:\n",
        "      loss = {}\n",
        "      Y_pred = self.predict(X)\n",
        "      loss[0] = log_loss(np.argmax(Y, axis=1), Y_pred)\n",
        "\n",
        "    for num_epoch in tqdm(range(epochs), total=epochs, unit=\"epoch\"):\n",
        "      m = X.shape[0]\n",
        "      \n",
        "      if algo == \"GD\":\n",
        "        self.grad(X, Y)\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.params[\"W\"+str(i)] -= eta * (self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.params[\"B\"+str(i)] -= eta * (self.gradients[\"dB\"+str(i)]/m)\n",
        "          \n",
        "      elif algo == \"MiniBatch\":\n",
        "        for k in range(0,m,mini_batch_size):\n",
        "          self.grad(X[k:k+mini_batch_size], Y[k:k+mini_batch_size])\n",
        "          for i in range(1,self.num_layers+1):\n",
        "            self.params[\"W\"+str(i)] -= eta * (self.gradients[\"dW\"+str(i)]/mini_batch_size)\n",
        "            self.params[\"B\"+str(i)] -= eta * (self.gradients[\"dB\"+str(i)]/mini_batch_size)\n",
        "            \n",
        "      elif algo == \"Momentum\":\n",
        "        self.grad(X, Y)\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.update_params[\"v_w\"+str(i)] = gamma *self.update_params[\"v_w\"+str(i)] + eta * (self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.update_params[\"v_b\"+str(i)] = gamma *self.update_params[\"v_b\"+str(i)] + eta * (self.gradients[\"dB\"+str(i)]/m)\n",
        "          self.params[\"W\"+str(i)] -= self.update_params[\"v_w\"+str(i)]\n",
        "          self.params[\"B\"+str(i)] -= self.update_params[\"v_b\"+str(i)]  \n",
        "          \n",
        "      elif algo == \"NAG\":\n",
        "        temp_params = {}\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.update_params[\"v_w\"+str(i)]=gamma*self.prev_update_params[\"v_w\"+str(i)]\n",
        "          self.update_params[\"v_b\"+str(i)]=gamma*self.prev_update_params[\"v_b\"+str(i)]\n",
        "          temp_params[\"W\"+str(i)]=self.params[\"W\"+str(i)]-self.update_params[\"v_w\"+str(i)]\n",
        "          temp_params[\"B\"+str(i)]=self.params[\"B\"+str(i)]-self.update_params[\"v_b\"+str(i)]\n",
        "        self.grad(X,Y,temp_params)\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.update_params[\"v_w\"+str(i)] = gamma *self.update_params[\"v_w\"+str(i)] + eta * (self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.update_params[\"v_b\"+str(i)] = gamma *self.update_params[\"v_b\"+str(i)] + eta * (self.gradients[\"dB\"+str(i)]/m)\n",
        "          self.params[\"W\"+str(i)] -= eta * (self.update_params[\"v_w\"+str(i)])\n",
        "          self.params[\"B\"+str(i)] -= eta * (self.update_params[\"v_b\"+str(i)]) \n",
        "        self.prev_update_params=self.update_params \n",
        "        \n",
        "      elif algo == \"AdaGrad\":\n",
        "        self.grad(X, Y)\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.update_params[\"v_w\"+str(i)] += (self.gradients[\"dW\"+str(i)]/m)**2\n",
        "          self.update_params[\"v_b\"+str(i)] += (self.gradients[\"dB\"+str(i)]/m)**2\n",
        "          self.params[\"W\"+str(i)] -= (eta/(np.sqrt(self.update_params[\"v_w\"+str(i)])+eps)) * (self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.params[\"B\"+str(i)] -= (eta/(np.sqrt(self.update_params[\"v_b\"+str(i)])+eps)) * (self.gradients[\"dB\"+str(i)]/m)\n",
        "      \n",
        "      elif algo == \"RMSProp\":\n",
        "        self.grad(X, Y)\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          self.update_params[\"v_w\"+str(i)] = beta*self.update_params[\"v_w\"+str(i)] +(1-beta)*((self.gradients[\"dW\"+str(i)]/m)**2)\n",
        "          self.update_params[\"v_b\"+str(i)] = beta*self.update_params[\"v_b\"+str(i)] +(1-beta)*((self.gradients[\"dB\"+str(i)]/m)**2)\n",
        "          self.params[\"W\"+str(i)] -= (eta/(np.sqrt(self.update_params[\"v_w\"+str(i)]+eps)))*(self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.params[\"B\"+str(i)] -= (eta/(np.sqrt(self.update_params[\"v_b\"+str(i)]+eps)))*(self.gradients[\"dB\"+str(i)]/m)\n",
        "      \n",
        "      elif algo == \"Adam\":\n",
        "        self.grad(X, Y)\n",
        "        num_updates=0\n",
        "        for i in range(1,self.num_layers+1):\n",
        "          num_updates+=1\n",
        "          self.update_params[\"m_w\"+str(i)]=beta1*self.update_params[\"m_w\"+str(i)]+(1-beta1)*(self.gradients[\"dW\"+str(i)]/m)\n",
        "          self.update_params[\"v_w\"+str(i)]=beta2*self.update_params[\"v_w\"+str(i)]+(1-beta2)*((self.gradients[\"dW\"+str(i)]/m)**2)\n",
        "          m_w_hat=self.update_params[\"m_w\"+str(i)]/(1-np.power(beta1,num_updates))\n",
        "          v_w_hat=self.update_params[\"v_w\"+str(i)]/(1-np.power(beta2,num_updates))\n",
        "          self.params[\"W\"+str(i)] -=(eta/np.sqrt(v_w_hat+eps))*m_w_hat\n",
        "          \n",
        "          self.update_params[\"m_b\"+str(i)]=beta1*self.update_params[\"m_b\"+str(i)]+(1-beta1)*(self.gradients[\"dB\"+str(i)]/m)\n",
        "          self.update_params[\"v_b\"+str(i)]=beta2*self.update_params[\"v_b\"+str(i)]+(1-beta2)*((self.gradients[\"dB\"+str(i)]/m)**2)\n",
        "          m_b_hat=self.update_params[\"m_b\"+str(i)]/(1-np.power(beta1,num_updates))\n",
        "          v_b_hat=self.update_params[\"v_b\"+str(i)]/(1-np.power(beta2,num_updates))\n",
        "          self.params[\"B\"+str(i)] -=(eta/np.sqrt(v_b_hat+eps))*m_b_hat\n",
        "          \n",
        "      if display_loss:\n",
        "        Y_pred = self.predict(X)\n",
        "        loss[num_epoch+1] = log_loss(np.argmax(Y, axis=1), Y_pred)\n",
        "        self.params_h.append(np.concatenate((self.params['W1'].ravel(), self.params['W2'].ravel(), self.params['B1'].ravel(), self.params['B2'].ravel())))\n",
        "    \n",
        "    if display_loss:\n",
        "      plt.plot(list(loss.values()), '-o', markersize=5)\n",
        "      plt.xlabel('Epochs')\n",
        "      plt.ylabel('Log Loss')\n",
        "      plt.show()\n",
        "      \n",
        "  \n",
        "  def predict(self, X):\n",
        "    Y_pred = self.forward_pass(X)\n",
        "    return np.array(Y_pred).squeeze()"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xqz9xJeTuiJI"
      },
      "source": [
        "def post_process(scatter_plot=False, gradient_plot=True, plot_scale=0.1):    \n",
        "    Y_pred_train = model.predict(X_train)\n",
        "    Y_pred_train = np.argmax(Y_pred_train,1)\n",
        "    Y_pred_val = model.predict(X_val)\n",
        "    Y_pred_val = np.argmax(Y_pred_val,1)\n",
        "    accuracy_train = accuracy_score(Y_pred_train, Y_train)\n",
        "    accuracy_val = accuracy_score(Y_pred_val, Y_val)\n",
        "    print(\"Training accuracy\", round(accuracy_train, 4))\n",
        "    print(\"Validation accuracy\", round(accuracy_val, 4))    \n",
        "    \n",
        "    if scatter_plot:\n",
        "      plt.scatter(X_train[:,0], X_train[:,1], c=Y_pred_train, cmap=my_cmap, s=15*(np.abs(np.sign(Y_pred_train-Y_train))+.1))\n",
        "      plt.show()\n",
        "      \n",
        "    if gradient_plot:\n",
        "      h = np.asarray(model.params_h)\n",
        "      h_diff = (h[0:-1, :] - h[1:, :])\n",
        "      for i in range(18):\n",
        "        plt.subplot(6, 3, i+1)\n",
        "        plt.plot(h_diff[:, i], '-')\n",
        "        plt.ylim((-plot_scale, plot_scale))\n",
        "        plt.yticks([])\n",
        "        plt.xticks([])\n",
        "      plt.show()"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H0GfYBbeuiI6",
        "cellView": "both",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597,
          "referenced_widgets": [
            "272fdd597b5e4f2ea37d6d0a243b62d5",
            "9d9ae6127c4942ea80346e98b5fec2c4",
            "a2699298827a42d6a0a60abbdba506d9",
            "e2f1fc8af65a466aa3c10ce6878c5f61",
            "336830e2751e4d06a693955b414989f3",
            "ab77a874c77b48738abd96220e7162de",
            "0f50ba0488614543963a1864629c08d8",
            "5d60c306afcf4e00aed6dcb1682dfd7c"
          ]
        },
        "outputId": "992e19fc-1bd5-47f7-cdc5-a6c618b644e9"
      },
      "source": [
        "model = FFNetwork(init_method='xavier', activation_function='sigmoid')\n",
        "model.fit(X_train, y_OH_train, epochs=10, eta=1, algo=\"GD\", display_loss=True)\n",
        "post_process()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "272fdd597b5e4f2ea37d6d0a243b62d5",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.376\n",
            "Validation accuracy 0.384\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Enm1D6IGRNzY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "372edffbe36845e1b08ac0fc70626dc1",
            "05a7234f79384958bf36907553dead42",
            "f5119d8df71b46dcb37ecd0f68a03a63",
            "eeee256c055446a2afc3b74e6a501114",
            "063285fb07bf41a4802a7acb2b67cd9a",
            "43703080f04d4f37b00e8558f6f44b12",
            "6777e2f5e36c45a7b39e0e3aa01fd011",
            "a1caaed8ecb746cb8cc8048b975ad88d",
            "0eea10eaeefb4a17a48d45c034ad9de0",
            "abaa3b03df6b4d4bb71e9cd53050914c",
            "29bb05ca34214cb0acdeafeb124ea215",
            "bc2a351713f94ba6ad5e5cea87bf6d62",
            "6cd1859f63c24c43bacd4371d64d18f6",
            "ae4965d385df448dbbfebf761eec51e7",
            "a1f8e55f1c554a3ea37e5b05e0637348",
            "217fbe9c0040492497c65dbca1725988",
            "ca0898b8c10040ee96b759f27ff693f6",
            "4659cccf3c80459f85735c3f42e62f14",
            "1edd776d8b014d208a0059096a6351e7",
            "923c3417d8894c0dbe294a8663685855",
            "a0f6a64cc7cf4a98aacf06f97bba1d59",
            "50cdf091274f42f4a18e76f60e0ba55b",
            "f2aee33456f6475ab1df52e528518119",
            "89f8bec307694a5493590d4398fe61a2",
            "75d59f95cf3545babfa5508687ebb1b4",
            "2470f630fcfd4f83a7e265a36b5acb37",
            "406d340a882f45119adc9066f6ea617a",
            "ac17ba1f56844592a841af4ca749679c",
            "d5c8d709cb064b6ca019d13724698800",
            "e88d347cb62d40b2948a20f4608772c3",
            "d9975501312b4be78922dfa3d3a1ca67",
            "1d2c460121eb4e898ace3c9601cfa746"
          ]
        },
        "outputId": "3163a7e4-6b87-45bc-aa42-301d51be4c80"
      },
      "source": [
        "for init_method in ['zeros', 'random', 'xavier', 'he']:\n",
        "  for activation_function in ['sigmoid']:\n",
        "    print(init_method, activation_function)\n",
        "    model = FFNetwork(init_method=init_method, activation_function=activation_function)\n",
        "    model.fit(X_train, y_OH_train, epochs=50, eta=1, algo=\"GD\", display_loss=True)\n",
        "    post_process(plot_scale=0.05)\n",
        "    print('\\n--\\n')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "zeros sigmoid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "372edffbe36845e1b08ac0fc70626dc1",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.528\n",
            "Validation accuracy 0.54\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "random sigmoid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0eea10eaeefb4a17a48d45c034ad9de0",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.5827\n",
            "Validation accuracy 0.568\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "xavier sigmoid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ca0898b8c10040ee96b759f27ff693f6",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8747\n",
            "Validation accuracy 0.88\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "he sigmoid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "75d59f95cf3545babfa5508687ebb1b4",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.5827\n",
            "Validation accuracy 0.568\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OHwcnDeSRJ_-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "1568bc1e8ed0413da64e61da2424912c",
            "50538b4e944d421d9820b647d9314aff",
            "46f6cd2ae5fb4443bfa12b5f87cfd7bf",
            "f034b7f648294e1f93d0a545f3cce46d",
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            "13c3aa651170456e83cb7668706287fd",
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            "df3067e2d0c34e568f407805312aafa6",
            "dab43f7d25024b83ace7cc6ea241edca",
            "81dc424c42a045a09b96caf1afd94ee7",
            "8526cdf47eb14b77a4e805d0d4bb60bc",
            "5fe76a713edb44b88d2860d3011c8fc2",
            "39c6ec9bb39b40b9aabd32e767eb3954",
            "6c4fe34f1516404f867e59fe1d46948b",
            "9bdff08e120a464184c83889eea27d98",
            "f8f10e959eba486181a3e6033c490fd3",
            "c45072b870104e7fa2b81f88254ee80a",
            "105acdc1f87c4dc8aeefe4ee6ad1a159",
            "0de85ff0657141c9b4e650f460dec904",
            "6a0a473cc2e9443ab46775d7df2d0bde",
            "87e53534c44741588e2bd89f82e7d45b"
          ]
        },
        "outputId": "2bff4afc-fb33-482e-a94a-f3d1c19ca38d"
      },
      "source": [
        "for init_method in ['zeros', 'random', 'xavier', 'he']:\n",
        "  for activation_function in ['tanh']:\n",
        "    print(init_method, activation_function)\n",
        "    model = FFNetwork(init_method=init_method, activation_function=activation_function)\n",
        "    model.fit(X_train, y_OH_train, epochs=100, eta=0.5, algo=\"NAG\", display_loss=True)\n",
        "    post_process(plot_scale=0.05)\n",
        "    print('\\n--\\n')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "zeros tanh\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "1568bc1e8ed0413da64e61da2424912c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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VzOykNJLG4n9MGosnSFohqUfSVZUorpKmlwWBmVmWjOTU0Dsiohd4N/AccBrw8TSLqoZpDgIzy6gRNRYn/74LuCMi9qRYT9U4CMwsq0bSffQeSU8DB4APSmoHDqZbVuVNnJCjKZ9zEJhZ5gx7RBARnwTeCnRGxGHgFYqjhtacac2exN7MsmfYIwJJE4CrgLcnI0T/F/DVlOuqCgeBmWXRSE4N3URxLoF/Te5fnay7Jq2iqmVac94Dz5lZ5owkCN6czDJW8oCkJ9IqqJqmNeXZtH3f8BuamdWQkfQaKkh6Q+lOcmVxIb2Sqsenhswsi0ZyRPBxiqOIPgMIOBX4QKpVVcm0ljwHDhc40FegMZ+rdjlmZhUxkiEmVkiaDyxIVm2keHFZzWltnADA53+8kbe8YTpLFswg55FIzazGjWhimog4FBFrk9sh4Isp11Vxhf7g1p/+EoDlP3mW625/nKuXr6LQX5V5cszMKuZ4p6qsuT+TV27s5rkdrwAQwP6+Amu27Gblxu7qFmZmlrLjDYKa+zN53bZeDh3pP2rdgb4C67f1VqkiM7PKGLKNQNKTDP6DL2BmahVVyaLZk2nM59jf92qHqMZ8joWzJ1exKjOz9B2rsbgmG4SHsmTBDBZ3tPLfv9gJQFM+x+KOVpYsmFHlyszM0jVkEETEL09kx5I6gFspHj0EsCwi/mXANkuAfweeTVbdFRHXn8jrHq9cnbht6Xmc93f/SVtLAx//3QXuNWRmmTCS6wiO1xHgzyPiMUmTgNWS7o+I9QO2ezgiToqjj1yd6JjWRFM+x0Wn19zZLzOzQR1vY/GwIuLFiHgsWd4LbADmpPV6Y6W9pYEde311sZllR2pBUE7SPOBsYNUgD79F0hOSfihp0RDPv1ZSl6Sunp6eFCuFtkkN9Ow7lOprmJmdTEYyDPVgvYf2AF3A30TEzmGe3wJ8D/hoMuVluceAUyNin6RLgO8D8wfuIyKWAcsAOjs7U+262t7SwK79fRwp9FOfq0hOmplV1Uh+6X4I/Afw3uT2A4oh8BLwzWM9MZnL4HvAtyPiroGPR0RvROxLlu8FJkhqG80bGGttkxqI8JSVZpYdI2ks/u2IOKfs/pOSHouIcyRdNdSTVJzFZjmwISK+MMQ2pwDbIyIknUsxmI55hJG29pbi3MXdew8xY/LEapZiZlYRIwmCnKRzI+IRAElvBkpDcx45xvMuoDiJzZOS1iTr/gp4HUBEfBW4nOI8yEcozol8RURU9arl9kkNAOxwO4GZZcRIguAa4ObkXL+AXmCppGbgc0M9KSJ+wjBjEkXEjcCNIy83fW0tpSDwqSEzy4aRDEP9KPDrkqYk9/eUPfxvaRVWLaUg6NnrIwIzy4ZhG4slTZH0BWAFsELS50uhUIuaG+ppyud8asjMMmMkvYZuBvYCf5TceoFvpFlUtbW1NPiIwMwyYyRtBG+IiPeU3f9sWeNvTWpryfuIwMwyYyRHBAckva10R9IFFHv41Kz2SQ0OAjPLjJEcEfwpcGtZu8Au4H3plVR9bS0NPPLsy9Uuw8ysIkbSa+gJ4CxJk5P7vZI+CqxNu7hqaWtpYNf+wxwu9DPBw0yYWY0b8a9cMhxEaaygj6VUz0mhdFGZh5kwsyzw5PWD8LUEZpYlnrx+EO2TiuMNeThqM8uCY01ev5ehJ69vTK2ik0B7S3GwuR0+IjCzDDjWnMWTKlnIyaTNRwRmliHuEjOIpnw9zfmcp6w0s0xwEAyhzReVmVlGOAiG4PGGzCwrHARDaG/xEYGZZYODYAhtkzzwnJllg4NgCOXDTJiZ1bLUgkBSh6QHJa2XtE7SRwbZRpJukLRZ0lpJ56RVz2hNTyax/6f7NrJiw3YK/TV9DZ2ZZViaRwRHgD+PiIXA+cCHJC0csM07gfnJ7VrgphTrGbFCf/Dtnz0PwNcefobrbn+cq5evchiYWU1KLQgi4sWIeCxZ3gtsAOYM2Owy4NYo+hnQKmlWWjWN1MqN3Ty34xWgeGn1/r4Ca7bsZuXG7uoWZmaWgoq0EUiaB5wNrBrw0BxgS9n9rbw2LCpu3bZeDh05um3gQF+B9dt6h3iGmdn4lXoQSGoBvgd8tGwY69Hu41pJXZK6enp6xrbAQSyaPZnGfO6odY35HAtnT079tc3MKi3VIJA0gWIIfDsi7hpkkxeAjrL7c5N1R4mIZRHRGRGd7e3t6RRbZsmCGSzuaP3VWNtN+RyLO1pZsmBG6q9tZlZpafYaErAc2BARXxhis7uBP0l6D50P7ImIF9OqaaRydeK2pefx+vZmOqY18uUrz+a2peeRq6vpaRjMLKNGMmfx8boAuBp4UtKaZN1fAa8DiIivAvcClwCbgf3AB1KsZ1RydeL0WZN56oU9XHT6zGqXY2aWmtSCICJ+wjAzmUVEAB9Kq4YTNae1kR+v305/f1DnowEzq1G+svgYZrc20nekn52eu9jMapiD4BhmtxYnYtu2+0CVKzEzS4+D4BhmtxanrHQQmFktcxAcw5zSEcGeg1WuxMwsPQ6CY5jSOIGmfM5HBGZW0xwExyCJ2a2NDgIzq2kOgmE4CMys1jkIhjF7ykRe2O02AjOrXQ6CYcxubWTHvkMcPFyodilmZqlwEAyjdC3BS+45ZGY1ykEwDF9LYGa1zkEwDF9LYGa1zkEwjFOm+IjAzGqbg2AYDfU52ic1OAjMrGY5CEZgdmsjLzgIzKxGOQhGYPaUiT4iMLOa5SAYgeLVxQcpzqNjZlZbHAQjcMqUiRw4XOAf79vIig3bKfQ7EMysdqQ5Z3FNKPQHd67eCsBX/+sXNP40x+KOVk9mb2Y1I7UjAkk3S+qW9NQQjy+RtEfSmuT26bRqORErN3bzy52vABDA/r4Ca7bsZuXG7uoWZmY2RtI8NfRN4OJhtnk4IhYnt+tTrOW4rdvWy6HD/UetO9BXYP223ipVZGY2tlILgoh4CHg5rf1XyqLZk2nM545a15jPsXD25CpVZGY2tqrdWPwWSU9I+qGkRUNtJOlaSV2Sunp6eipZH0sWzGBxRyul5oCmfLGNYMmCGRWtw8wsLdUMgseAUyPiLODLwPeH2jAilkVEZ0R0tre3V6xAgFyduG3peSxZ0E4+V8cNVyx2Q7GZ1ZSqBUFE9EbEvmT5XmCCpLZq1XMsuTrxPxbMoK/Qz6I5UxwCZlZTqhYEkk6RpGT53KSWndWqZzjzZ04CYNP2fVWuxMxsbKV2HYGk24ElQJukrcBngAkAEfFV4HLgg5KOAAeAK+IkvnR3/owWAH6+fS9vf2NlT0+ZmaUptSCIiCuHefxG4Ma0Xn+sTW9pYHpzns3dPiIws9pS7V5D48ppM1r4+fa91S7DzGxMOQhG4Y0zJ7Gpe58HnzOzmuIgGIX5M1vYe/AI23sPVbsUM7Mx4yAYhfkzkp5D3T49ZGa1w0EwCm+cWeo55AZjM6sdDoJRmN7SwLTmPJvcYGxmNcRBMErzZ7SwyV1IzayGOAhGaf7MYhdS9xwys1rhIBil02YUew597odPe9pKM6sJDoJRKPQHd3QVp6382kPPcN3tj3P18lUOAzMb1xwEo7ByYzfP9HjaSjOrLQ6CUVi3rZeDhwtHrfO0lWY23jkIRsHTVppZLXIQjEJp2sqG+uLH1lBf52krzWzccxCMQmnayn+6/CwA3rFopqetNLNxz0EwSrk6ceni2Zw5dwov7TnoEDCzcc9BcJze+oY2Hn9+N68cOlLtUszMToiD4Di97bQ2jvQHjzz3crVLMTM7IQ6C49Q5byr5+jr+36Yd1S7FzOyEpBYEkm6W1C3pqSEel6QbJG2WtFbSOWnVkoaJE3Kc09HKfete4oYVmzzchJmNW2keEXwTuPgYj78TmJ/crgVuSrGWMVfoD7btOcDWXQf44v0/93ATZjZupRYEEfEQcKwT6JcBt0bRz4BWSbPSqmesrdzYTffe4pSVHm7CzMazarYRzAG2lN3fmqx7DUnXSuqS1NXT01OR4oazblsvhw73H7XOw02Y2Xg0LhqLI2JZRHRGRGd7e3u1ywE83ISZ1Y5qBsELQEfZ/bnJunGhNNxEKQxydfJwE2Y2LlUzCO4G/iTpPXQ+sCciXqxiPaNSGm7ixivP5tx50yj0B9dfdoavNDazcac+rR1Luh1YArRJ2gp8BpgAEBFfBe4FLgE2A/uBD6RVS1pydeKi02dy5txW3vr3K7j+B+vonDeNRbMns2TBDIeCmY0LqQVBRFw5zOMBfCit16+kac15pjfneWjTDh7etIPGfI7FHa0ekM7MxoVx0Vh8slu5sZs9Bw4D7kpqZuNPakcEWVKcuezorqT7+wos/8mzAMOeJir0Bys3drNuWy+nnzIJBBte3DvqZZ+SMrPj4SAYA6WupPv7jp7G8r9/sZPHn9/FqdObufiMU1g0a/JrfsDXbevlR0+9xC9f3s/+vgKl3/D+YFTLETBxQt0xX2s0gfKb89t5eFPPCYdTLS37c/HncjJ8Lmn8wecgGAOlrqRrtux+TRgcONzP0y/t5emX9g75Y16u/P5ol0fyWiMNlHx9HYcLcULhVEvL/lz8uZwMn0sEqbRBqthmO350dnZGV1dXtct4jdLpneU/eZaf/mIn4+tTNbPxpCmf48tXns1Fp88c8XMkrY6IzsEec2PxGCl1JV36tl97zRXHZmZjaayHs3EQjLHSaaKm4wyDOr16GDjaZTPLhrEezsZtBGOsdMXxyo3dPPXCHu4bpiG4vJH3nWfMYuGsYqPQ0y/u5U2njHx5/bbeYV/L53xPvnO+433Zn0v12gjGcjgbtxGkrNR2sH5b75A/5gvHqBfASF5rJMsLy3o7nOi+amnZn4s/l5Phczne34tjtRE4CMzMMsCNxWZmNiQHgZlZxjkIzMwyzkFgZpZxDgIzs4wbd72GJPUAvzzOp7cBO8awnPHA7zkb/J6z4UTe86kRMeik7+MuCE6EpK6huk/VKr/nbPB7zoa03rNPDZmZZZyDwMws47IWBMuqXUAV+D1ng99zNqTynjPVRmBmZq+VtSMCMzMbwEFgZpZxmQkCSRdL2ihps6RPVrueNEjqkPSgpPWS1kn6SLJ+mqT7JW1K/p1a7VrHkqScpMcl3ZPc/zVJq5Lv+ruS8tWucSxJapV0p6SnJW2Q9JYMfMf/K/k//ZSk2yVNrLXvWdLNkrolPVW2btDvVUU3JO99raRzTuS1MxEEknLAV4B3AguBKyUtrG5VqTgC/HlELATOBz6UvM9PAisiYj6wIrlfSz4CbCi7/w/AFyPiNGAXsLQqVaXnX4D7IuJNwFkU33vNfseS5gAfBjoj4gwgB1xB7X3P3wQuHrBuqO/1ncD85HYtcNOJvHAmggA4F9gcEc9ERB/wHeCyKtc05iLixYh4LFneS/EHYg7F93pLstktwO9Vp8KxJ2ku8C7g68l9ARcCdyab1Nr7nQK8HVgOEBF9EbGbGv6OE/VAo6R6oAl4kRr7niPiIeDlAauH+l4vA26Nop8BrZJmHe9rZyUI5gBbyu5vTdbVLEnzgLOBVcDMiHgxeeglYGaVykrDl4BPAP3J/enA7og4ktyvte/614Ae4BvJ6bCvS2qmhr/jiHgB+GfgeYoBsAdYTW1/zyVDfa9j+puWlSDIFEktwPeAj0ZEb/ljUewvXBN9hiW9G+iOiNXVrqWC6oFzgJsi4mzgFQacBqql7xggOS9+GcUQnA0089pTKDUvze81K0HwAtBRdn9usq7mSJpAMQS+HRF3Jau3lw4bk3+7q1XfGLsAuFTScxRP911I8fx5a3IKAWrvu94KbI2IVcn9OykGQ61+xwC/DTwbET0RcRi4i+J3X8vfc8lQ3+uY/qZlJQgeBeYnvQzyFBua7q5yTWMuOT++HNgQEV8oe+hu4H3J8vuAf690bWmIiE9FxNyImEfxO30gIt4LPAhcnmxWM+8XICJeArZIWpCsughYT41+x4nngfMlNSX/x0vvuWa/5zJDfa93A3+S9B46H9hTdgpp9CIiEzfgEuDnwC+Av652PSm9x7dRPHRcC6xJbpdQPG++AtgE/Ccwrdq1pvDelwD3JMuvBx4BNgN3AA3Vrm+M3+tioCv5nr8PTK317xj4LPA08BRwG9BQa98zcDvFNpDDFI/8llEYT+MAAAIDSURBVA71vQKi2BPyF8CTFHtUHfdre4gJM7OMy8qpITMzG4KDwMws4xwEZmYZ5yAwM8s4B4GZWcY5CMwSkgqS1pTdxmzgNknzykeVNDuZ1A+/iVlmHIiIxdUuwqzSfERgNgxJz0n6R0lPSnpE0mnJ+nmSHkjGg18h6XXJ+pmS/q+kJ5LbW5Nd5SR9LRlX/8eSGpPtP5zMIbFW0neq9DYtwxwEZq9qHHBq6I/LHtsTEb8O3EhxxFOALwO3RMSZwLeBG5L1NwD/FRFnURwHaF2yfj7wlYhYBOwG3pOs/yRwdrKfP03rzZkNxVcWmyUk7YuIlkHWPwdcGBHPJIP6vRQR0yXtAGZFxOFk/YsR0SapB5gbEYfK9jEPuD+KE4wg6S+BCRHxN5LuA/ZRHC7i+xGxL+W3anYUHxGYjUwMsTwah8qWC7zaRvcuiuPGnAM8WjaipllFOAjMRuaPy/79abL83xRHPQV4L/BwsrwC+CD8aj7lKUPtVFId0BERDwJ/CUwBXnNUYpYm/+Vh9qpGSWvK7t8XEaUupFMlraX4V/2VybrrKM4U9nGKs4Z9IFn/EWCZpKUU//L/IMVRJQeTA76VhIWAG6I49aRZxbiNwGwYSRtBZ0TsqHYtZmnwqSEzs4zzEYGZWcb5iMDMLOMcBGZmGecgMDPLOAeBmVnGOQjMzDLu/wN9DtRxG7Cy7gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.2507\n",
            "Validation accuracy 0.248\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "random tanh\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8bdf4da4a81d461f9f37436ac7ba1c3f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8547\n",
            "Validation accuracy 0.86\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "xavier tanh\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "13c3aa651170456e83cb7668706287fd",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.88\n",
            "Validation accuracy 0.88\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "he tanh\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "6c4fe34f1516404f867e59fe1d46948b",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8547\n",
            "Validation accuracy 0.86\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SlWoIwU4DNFr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "c7dbd1c2dfc04418a18af5a514a2defc",
            "b2e8fc29beab49ccb3227f024d77a723",
            "cb164f3a09c14ddebd9a064566881da3",
            "50c92b61bff64bd59590f8942ebff6cf",
            "28f87110456441f29d46dcc812bd7794",
            "988b2165f3234fbeb8b6a111eaca8d1e",
            "312ef2bcd75b4536ab1debca285cf799",
            "3d1d03a71635421b9a2c28fd44a05d9f",
            "e5aef63cdd634696accbe7945c3779d4",
            "b2cd91e3a19243afa7f1aa1ad64a657b",
            "98d9a1ff1d3b40d598b2f28fe8ee4347",
            "98cb2e6e11ca4f18a899e43ecfd02469",
            "7ec823220fe942f0b0938bccb0180e40",
            "34ae9603c5a045d3930cc11deff3dd81",
            "4bef0268b7774fa19f468db6a36ff7bf",
            "18f57c6020054e7fabd1b0b2e0bd57e9",
            "84a95ec4252f4786a35663e8848fc90d",
            "89ada414ff2245d8be4d273144417796",
            "55a237cf65c745e3a3a381697b579c03",
            "15c2d219cd7b4004a51a446e4bcbcf7c",
            "e10f8f7495d14c21aa5ca4a8784e63d7",
            "10bafe90050b4b6e8caf69bf74d18513",
            "695b2b9189e64a4583ae79c28d3dfca6",
            "66ab0e16b62348949f0233182e2fee56",
            "899b583591444bb3bad361dc67423375",
            "edf039af6b3944a080bb07918ae201ad",
            "9dccdeda927d45ba8886dcfb05d9ca91",
            "e3fc8fd1d25d47dcbbc5cf0cf3b2d60a",
            "f519715991ab451ea858ace495b3c2ac",
            "e38dae994cf74947a8868f802874deda",
            "6d0080d7ca794010b8410f14a9673201",
            "b8aa761af1c7464aa78f2647ed43b3a4"
          ]
        },
        "outputId": "67bcc398-5f4d-4f01-953c-769afcf296a9"
      },
      "source": [
        "for init_method in ['zeros', 'random', 'xavier', 'he']:\n",
        "  for activation_function in ['relu']:\n",
        "    print(init_method, activation_function)\n",
        "    model = FFNetwork(init_method=init_method, activation_function=activation_function)\n",
        "    model.fit(X_train, y_OH_train, epochs=50, eta=0.25, algo=\"GD\", display_loss=True)\n",
        "    post_process(plot_scale=0.05)\n",
        "    print('\\n--\\n')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "zeros relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "c7dbd1c2dfc04418a18af5a514a2defc",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.2507\n",
            "Validation accuracy 0.248\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAADrCAYAAABXYUzjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAIMUlEQVR4nO3dT4sceR3H8d9PAhsxJGHpYWGyu1MoC5Lsin9yUnPz4mEuog9AUBDBB+BpCCz4NNSbCHvJ+hg8bPcxETw5HgIywwoRL8pueQhuZnqmMlVNdX0qndcLls1MV6p/yZe8u6a6qapt2xYApvel9AIAXlcCDBAiwAAhAgwQIsAAIQIMEHJtyMaLxaJtmmZLS6Gv1Wp12rbt3lj7M9d5MNfd1TXbQQFumqYsl8vxVsVGaq3HY+7PXOfBXHdX12ydggAIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAEAEGCBFggBABBggRYICQQRfjOevho8flydNnY66FDnf3b5ajw3uTPJe5TmfKuZZitlMZMldHwAAhGx8BT/nKzXTMdXeZ7fw4AgYIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAkNq2bf+Naz0ppRxvbzn0dNC27d5YOzPX2TDX3XXpbAcFGIDxOAUBECLAACECDBAiwAAhg27KuVgs2qZptrQU+lqtVqdjvlturvNgrrura7aDAtw0TVkul+Otio3UWkf9aJG5zoO57q6u2ToFARAiwAAhAgwQIsAAIQIMECLAACECDBAiwAAhAgwQIsAAIQIMECLAACECDBAy6GpoZz189Lg8efpszLXQ4e7+zXJ0eG+S5zLX6Uw511LMdipD5uoIGCBk4yPgKV+5mY657i6znR9HwAAhAgwQIsAAIQIMECLAACECDBAiwAAhAgwQIsAAIQIMECLAACECDBAiwAAhtW3b/hvXelJKOd7ecujpoG3bvbF2Zq6zYa6769LZDgowAONxCgIgRIABQgQYIESAAUIG3RNusVi0TdNsaSn0tVqtTsd8t9xc58Fcd1fXbAcFuGmaslwux1sVG6m1jvrRInOdB3PdXV2zdQoCIESAAUIEGCBEgAFCBBggRIABQgQYIESAAUIEGCBEgAFCBBggRIABQgQYIGTQ1dDOevjocXny9NmYa6HD3f2b5ejw3iTPZa7TmXKupZjtVIbM1REwQMjGR8BTvnIzHXPdXWY7P46AAUIEGCBEgAFCBBggRIABQgQYIESAAUIEGCBEgAFCBBggRIABQgQYIESAAUJq27b9N671pJRyvL3l0NNB27Z7Y+3MXGfDXHfXpbMdFGAAxuMUBECIAAOECDBAiAADhAgwQMigm3IuFou2aZotLYW+VqvV6ZgfVzLXeTDX3dU120EBbpqmLJfL8VbFRmqto36201znwVx3V9dsnYIACBFggBABBggRYIAQAQYIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAkEEX4znr4aPH5cnTZ2OuhQ5392+Wo8N7kzyXuU5nyrmWYrZTGTJXR8AAIRsfAU/5ys10zHV3me38OAIGCBFggBABBggRYIAQAQYIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAEAEGCBFggJDatm3/jWs9KaUcb2859HTQtu3eWDsz19kw19116WwHBRiA8TgFARAiwAAhAgwQIsAAIYNuyrlYLNqmaba0FPparVanY75bbq7zYK67q2u2gwLcNE1ZLpfjrYqN1FpH/WiRuc6Due6urtk6BQEQIsAAIQIMECLAACECDBAiwAAhAgwQIsAAIQIMECLAACECDBAiwAAhgy7Gc9bDR4/Lk6fPxlwLHe7u3yxHh/cmeS5znc6Uc/303/8pq+N/fvF1XXu81uf/nfve+lYv+bKu/+aO51l/zj4urKPP7xn+W4bt/yWP3bh+rXzj7du99rNxgIFXx1//8a/y89+7MtoUvv3u7fLRL7/Xa9uNAzzVKzfTMtfd9P6dW+XjX32/lFLK+n1429Je8r21r9c2aM891vWs3Tf87Xsv4E1uGbzt+wxfdSPjG9f7Z9URMLwGbrxxrbx/51Z6GazxJhxAiAADhAgwQIgAA4QIMECIAAOECDBAiAADhAgwQIgAA4QIMECIAAOECDBASL3q0mrnNq71pJRyvL3l0NNB27Z7Y+3MXGfDXHfXpbMdFGAAxuMUBECIAAOECDBAiAADhAy6J9xisWibptnSUuhrtVqdjvluubnOg7nurq7ZDgpw0zRluXRr67Ra66gfLTLXeTDX3dU1W6cgAEIEGCBEgAFCBBggRIABQgQYIESAAUIEGCBEgAFCBBggRIABQgQYIGTQxXjO+u9nn5fPPn9xO6NaS6mlfvHrs9a+LPXMBhcfu/z5atcDAK+ojQP84cdPyu/+PO/7/Q1p9hh539aLxK9/+PXyswdf3cq+1/3hk7+XD//0l/PfbEtZv3Pg+r0ELz5+9rHL7zv4stsR9r5T4Qa3NOxaz1j63mbxJ/ffKb/50QdbXcv/Lf/2afnpbz85/8323P+e/3rAXJ8/fvEPe9Wfv9dfzys812+9e7v88Rff7bXtxgH+wd23ylu3rl9Y2IUBXhjYyx7r/w/1yr+LATcbHWNs27y36Tffub29na/52t6N8uPvvH3h+7XUHj/ZrH/d/ZPO1Q+8+InqKpu87m3756k+a/rgzq0tr+KFxY03Oudayvn1DpnrZdt3f/Pi8750m1d0rvu3v9x7fxsH+MF7e+XBe6NdO5qZuN+8We43b6aXwciaxVfK0eG99DJY4004gBABBggRYIAQAQYIEWCAEAEGCBFggBABBggRYIAQAQYIEWCAEAEGCBFggJC6fvnIl25c60kpZd4XAX49HLRtO9ql6Mx1Nsx1d10620EBBmA8TkEAhAgwQIgAA4QIMECIAAOECDBAiAADhAgwQIgAA4T8D/jOMQB4ORruAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "random relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e5aef63cdd634696accbe7945c3779d4",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.9067\n",
            "Validation accuracy 0.92\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "xavier relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "84a95ec4252f4786a35663e8848fc90d",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.9053\n",
            "Validation accuracy 0.924\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "he relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "899b583591444bb3bad361dc67423375",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.9067\n",
            "Validation accuracy 0.92\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ErlTw9LSBAz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "f11dca2c95ff4e4aac7224afd6c0fa91",
            "2ae76c94b9734e60815d68d2699e03a6",
            "300d11e11649474cbffc2027241639b6",
            "4973d9957a5f4ab4bf0b8acf9afd1071",
            "b419e1839f5e4588ae592482e8ee6b7a",
            "647738d135c64dc29c7896616e4e77f0",
            "d83baa1982b042858f1fe55bea9aa71c",
            "b78aa43cfae24a269ae14b6c997f31f0",
            "cdcdad3e15c84bbfa524cf0e95e68136",
            "34ec421b06344abf8196630be983e356",
            "ea5814b931ae484fb093906fef805411",
            "12e9892fff99476ba56d707c96c9e4f6",
            "1fbe724af12648099dc9059e26871b1b",
            "7e44811e1b0745d2b20de79380fc00c9",
            "a71ce81bd6c4407eb4384064a3de17c3",
            "464bc5b72893470586af4f7a9816a094",
            "62f0990b77b34b4bae87137b6fdb10db",
            "350bea2cc512491c8a4c66b46af19930",
            "3a10708d8de04cb091cf91c84eec7284",
            "e94a9d4b7d8246a186f1692536ffd6ea",
            "feed067abb9b4f26896a8535037e4fd6",
            "8a5841b23d804113a79c51424c925a8f",
            "0af837ea65904823b66a083e52f03a83",
            "3a252f1121c542f797901ec1e531aa9e",
            "491ea727e980474b8c0dd3945a6fe0e1",
            "1546a83c35624056aaad55b275b6219d",
            "c0093fec727b45df8d3420d73c58c8f6",
            "c05cc3f0de9c491a8c97ac51ef50c41b",
            "0a4b7dacbb94440d80e23903939e69a4",
            "9a56768a796a4aafa28cab22ccefc8ae",
            "cd533bcf32ac4abb9f9b67c9cd601bde",
            "b098a9e85262477ba30ec30f04029409"
          ]
        },
        "outputId": "359af83e-bc8f-4d55-cb1b-1dff54b3e137"
      },
      "source": [
        "for init_method in ['zeros', 'random', 'xavier', 'he']:\n",
        "  for activation_function in ['leaky_relu']:\n",
        "    print(init_method, activation_function)\n",
        "    model = FFNetwork(init_method=init_method, activation_function=activation_function, leaky_slope=0.1)\n",
        "    model.fit(X_train, y_OH_train, epochs=50, eta=0.5, algo=\"GD\", display_loss=True)\n",
        "    post_process(plot_scale=0.05)\n",
        "    print('\\n--\\n')"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "zeros leaky_relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f11dca2c95ff4e4aac7224afd6c0fa91",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PrXwWzJrA3Ia6l/sDhiV9BAtmTShzZGZmfe+wiUDSP0kaJala0lJJzZIu6o/gyiWfEzcvPosLz2wA4EvvnOOOYjMbtHrTNPSWiGgB3glsBE4APpdmUJUgnxMfOHMaAEOqc04CZjZo9aqzOPn3HcAPI2JXivFUlFnHjGR4TZ6Hnt5Z7lDMzFLTm+Gjd0p6HNgLfFRSPbAv3bAqQz4n5k6tY8XTO8odiplZanrTWfwF4HVAY0TsB16isGpoJpw+dQyPb2vhpdb2codiZpaK3nQWVwMXAT+QdBuFPQTKvh5Qf5k3bQydAas2u3nIzAan3vQRfAs4Hfi35DE/KcuE+Q1jAHjIzUNmNkj1po/gjGSXsS73SFqVVkCVZvSwak6YMIKHnvEdgZkNTr25I+iQdHzXi2RmcUd6IVWe+VPreOiZHVTIwqhmZn2qN4ngc8C9kpZJ+g1wD/CZdMOqLKdPG8POPft58rmXyh2KmVmfO2zTUEQslTQDmJUUraMwuSwz5k99pZ/g+PoRZY7GzKxv9WpjmohojYjVyaMVuDLluCrK8fUjGDW0ioeecYexmQ0+r3arykytt5DLiXlTx3iGsZkNSq82EWSu13T+1DE80bSbln37yx2KmVmf6rGPQNIjlP6DLyBz23SdPm0MEbDymZ386cz6codjZtZnDtVZnKkO4cM5rWE0Ejz0zA4nAjMbVHpMBBHx9NGcWFID8F0Kdw8BLImIb3SrswD4KfBUUnR7RFxxNJ+blpFDq5k1caQXoDOzQac3M4tfrXbgMxHxkKSRwApJd0fEY93q3R8RA+LuY/60Mfxs1RY6O4Oc9ycws0Hi1XYWH1ZEbI2Ih5Lnu4G1wOS0Pq8/zJ86ht372tnQ/GK5QzEz6zOpJYJikqYD84AHShx+raRVkn4u6aQe3n+ZpOWSljc3N6cY6aGdPq0wsczNQ2Y2mPRmGepHJK3u9rhf0pWSxvXi/SOAHwGfSra8LPYQMC1Z1O5q4CelzhERSyKiMSIa6+vL11E7fdwwxg6v8UqkZjao9OaO4OfAfwIfTB4/A5YD24AbD/XGZC+DHwHfi4jbux+PiJaIeDF5fhdQLWn8kVxAf5LE3CmjuX99M1ctXc/Stdvp6MzclAozG2R601n8poiYX/T6EUkPRcR8SRf19CZJAq4D1kbE13qocwywPSJC0pkUElPFbnrT0RlsaH6JbS2tXHn3E9TW5JnbUMfNi8/y5vZmNmD15o4gn/yRBkDSGUA+eXmo/RvPAS4GFkpamTzeLukjkj6S1HkP8Giyv8FVwAVRwWs9L1vXxPaWwnbNAexp62Dlpp0sW9dU3sDMzI5Cb+4IPgxcn7T1C2gBFksaDvx9T2+KiP/iMGsSRcQ1wDW9D7e81mxpoa2984CyvW0dPLalhUUnZm6ytZkNEr1ZhvpB4BRJo5PXu4oO35pWYJXopEmjqK3Js6ftlX15amvyzJk0qoxRmZkdnd6MGhot6WvAUmCppH/tSgpZs2DWBOY21FGdL9zo1FbnmNtQx4JZE8ocmZnZq9ebPoLrgd3A+5JHC3BDmkFVqnxO3Lz4LL5yXmG6w5/Pm+yOYjMb8HqTCI6PiC9HxJPJ4yvAcWkHVqnyOfGBs6Zx3PjhPLtzn5OAmQ14vUkEeyW9vuuFpHOAvemFNDC8cfYE/vvJ59nTdqiBU2Zmla83ieAjwDclbZS0kcIon/+dalQDwMLZE2hr7+S3Gyp22oOZWa8cNhFExKpkCYhTgVMjYh6wMPXIKtwZ08cyYkgV9zzuOQRmNrD1etG5ZDmIrrWCPp1SPANGTVWO158wnmXrmqjgOXBmZoflzeuPwsLZE9i6ax9rt+4udyhmZq+aN68/CgtmF1ZCvddLTJjZANZjIpC0W1JLicduYFI/xlixJowcyimTR7ufwMwGtB4TQUSMjIhRJR4jIyLNLS4HlDfOqufhZ3aw46W2codiZvaq9MsOZYPZG2dPoDPgN0+Ub+c0M7Oj4URwlE6bUse44TVuHjKzAcuJ4CjlcuINs+r5zRPNtHd0Hv4NZmYVxomgDyycPYFde/fz8Kad5Q7FzOyIORH0gT+ZUU8+JzcPmdmA5NE/fWB0bTWnT63jZyu3UFud56RJo1gwa4JXJjWzASG1OwJJDZLulfSYpDWSLi9RR5KukrRB0mpJ89OKJ00dncH23a1s3rmXK+9+gk98/2Euvu4BOjo9787MKl+aTUPtwGciYg5wNvAxSXO61XkbMCN5XAZ8K8V4UuNN7c1sIEstEUTE1oh4KHm+G1gLTO5W7Xzgu1Hw30CdpGPTiikta7a00Lq/9Kb2ZmaVrl86iyVNB+YBD3Q7NBnYVPR6Mwcni4rXtal9MW9qb2YDReqJQNII4EfAp4qWsT7Sc1wmabmk5c3NlTeDt2tT+9rqQjKoysmb2pvZgJFqIpBUTSEJfC8ibi9R5Vmgoej1lKTsABGxJCIaI6Kxvr4+nWCPQtem9td8YB7HjR/O8CF5brjkDI8aMrMBIc1RQwKuA9ZGxNd6qHYH8D+S0UNnA7siYmtaMaUpnxOLTpzI58+dza697fz2j8+VOyQzs15Jcx7BOcDFwCOSViZlfw1MBYiIbwN3AW8HNgB7gEtTjKdfLJw9gXHDa7j1wc0snD2x3OGYmR1WaokgIv6Lw+xkFoU9Hj+WVgzlUFOV413zJnPj7zby/IutjBsxpNwhmZkdkpeYSMF7Gxto7wx+/PBB3R1mZhXHiSAFs44ZyWkNddy2YrM3tjeziudEkJL3NU7h8W27eeTZXeUOxczskJwIUvJnp01iSFWOW5dvOnxlM7MyciJIyaih1bzt5GP46cot7NvfUe5wzMx65ESQovc1NrB7Xzu/XLOt3KGYmfXI+xGk6OzjxjG5bijf/s0fefr5Pd6nwMwqkhNBigLISazdupvHt+6mtibP3IY6bl58lpOBmVUMNw2laNm6Jp57sRXwPgVmVrmcCFK0ZksL+7xPgZlVOCeCFHmfAjMbCJwIUtS1T8GwomRwyuTR3qfAzCqKE0GKuvYpuPrCeVx01lQAXnf8OHcUm1lF8aihlHXtU7DoxIlsa9nH9b/dyP98/WsYObS63KGZmQG+I+hXly+aya69+7npdxvLHYqZ2cucCPrRKVNGs2j2BL5z/1Ps3re/3OGYmQFOBP3u8jfN8F2BmVUUJ4J+duqUOt8VmFlFcSIog667gi/99FGuWrqepWu309HpDWzMrDxSGzUk6XrgnUBTRJxc4vgC4KfAU0nR7RFxRVrxVJKTJo1mzLBqfvzwFgReg8jMyirNO4IbgXMPU+f+iJibPDKRBKCwBtHeZI8Cr0FkZuWWWiKIiPuAF9I6/0C2ZksLrV6DyMwqRLn7CF4raZWkn0s6qadKki6TtFzS8ubm5v6MLxVeg8jMKkk5E8FDwLSIOA24GvhJTxUjYklENEZEY319fb8FmJZSaxAdM3qo1yAys7Io2xITEdFS9PwuSf8maXxEPFeumPpL1xpEy9Y1sWZLC3c9spVNL+xhe8s+JtXVljs8M8uYst0RSDpGkpLnZyaxPF+uePpb1xpEn1w0gyUXN9IZ8Dc/foQIDyM1s/6VWiKQ9H3g98AsSZslLZb0EUkfSaq8B3hU0irgKuCCyOhfwanjhvHZt87i3nXN/GTls+UOx8wyJrWmoYi48DDHrwGuSevzB5pLXjed/1y9hb+9Yw0RsHnHXm92b2b9wstQV4h8Tvz9X5zCuV+/n8/dtprOzvBEMzPrF+UePmpFNu/YS1VedHSGJ5qZWb9xIqgga7a00N5xYDeJJ5qZWdqcCCpIqYlmQ6s90czM0uVEUEGKJ5p19QhU5cXrjh9f1rjMbHBzZ3EFKZ5o9tiWFlr27ec79z/F//nJo/zLe08lmXZhZtannAgqTPFm9wAjhlRz5a+f4Lj64XzsjSeUOTozG4ycCCrcJxedwMbnX+Kff7mOln37GV5T5fkFZtannAgqnCS++q6T+fXa7fz7b570RjZm1ufcWTwA/P6Pz788rNTzC8ysrzkRDABrtrSwL9nRrIvnF5hZX3EiGABKzS8IoPnF1vIEZGaDivsIBoCu+QUrN+1kb1sHtTV5aqpyfPf3TzNmWA2nTB7FY1t3uxPZzF4VJ4IBoPv8gjmTRnHOCeP569sf4RtL11OVK6xP5E5kM3s13DQ0QHTNL/jEohksOnEiQ6vzvP2UY6jOiXYvUmdmR8GJYAB7bOtu2ju9SJ2ZHR03DQ1gXZ3Ie9peGVEUwIMbd9Cydz8PbnyBNVta3HdgZofkRDCAlepEHjOsmvvWN3PGV3+NgNb2TvcdmNkhOREMYKU6kRfMmsCS+57kn37xOF2NRsV9B11rGJmZdUlz8/rrJTVJerSH45J0laQNklZLmp9WLINZ907kfE7s7+g8qN6etg5Wb95FR2ewdO12rlq6nqVrt9PRrY/BzLInzTuCGylsTv/dHo6/DZiRPM4CvpX8a0epVN8BwI2/fYo7V29h6659LzclucnIzFK7I4iI+4AXDlHlfOC7UfDfQJ2kY9OKJ0u6b3AzrCbPyZNGMW5EDX9sfok9bR0ebmpmLytnH8FkYFPR681J2dbuFSVdBlwGMHXq1H4JbiDrqe/gmnvW8/Vfr6e4MWhPWwe/f/J5FsyawLJ1TR5lZJZBA6KzOCKWAEsAGhsb3ajdC903uAE4efLokk1G197/FD9asZk9bR20eZSRWeaUc0LZs0BD0espSZmlpFST0enTxvCOU45hx579tLZ3vtxktOLpHfx67XYAdzCbDXLlvCO4A/i4pFsodBLvioiDmoWs7/TUZPTNezdw1yPbDmgyam3v5JPff5i3njSRx7ftZvOOvQd1MANuTjIbBFJLBJK+DywAxkvaDHwZqAaIiG8DdwFvBzYAe4BL04rFXlGqyajUKKMhVTlOnzaGex5v5sXW9pfLu+4WfrbyWW5dsfmAyWxOEGYDU2qJICIuPMzxAD6W1udb75Waodz1R/3qe9bzjW4dzK3tnXzq1lUIDpq0ds/a7dzwu41OEGYDyIDoLLZ09dRklM+JU0p0MA+pynFc/XDWbt19wHn2tHXwqVtXsm9/B11z2va0dfDwq0wQHZ3hxGHWD1T4Yj5wNDY2xvLly8sdRmZ0dAYXX/fAQX/ALz1nOpffsvKABFGdF+NHDGHrrn0Hnacmn6O9s5PifuYhVTk+85aZ/GrNdh7b2nLA+W+89EwuueEPfZI4+qrcbCCTtCIiGksecyKww+n6w1h8twAcUYKYNLqWp1/Y06vPywmOrx/OU8/tOWCZ7SFVOS5/0wx+tWY767btZt/+wyeOvirvGkqbdrIZ6OXFvy+VEtNg/lkcCScCS8XRJoih1TlOmzKaB57acdC5h1bn2Lf/4DWTelKb1C/+bc4LXjN+OE89v+eAIa/VedE4bQzLn97B/o5Xymuqcrxp9gSWPt5Ea/srnz20Ksdn3jqLM6eP5ct3PMrj23bTur+TodU55hw7mn9932l89oerWLOlpZCcqvOcMmU0377odD76vRWs3rzrgJ/FDZecwaU3Ppha0ipXedfdWqn//pUW62D4WRzpPB8nAutXR5sghtXk+fDrX8O1//XUQYlj/tQ6fvfHg1cumThqCNtbWg8qr63OsfcIEko55XNQYr1AavKirePg/097urbhNTleajuwXMDwIVW81Np+QLIUMGJIFS+WKB85tIrd+w4uH1VbRcveg8snjBoCQFNL60HHRtdWsavEe/qqvG5YNTv37K+Y8mNGDwVg2659qXzGsJo8V18474hWEz5UIvAOZdbnSq2I2tUhffWF8/j0m2dy9YXzuHnxWSycPfGgSW5zG+r4+MIZB5XPnzqGS895DcNq8gd83rCaPO9vbChZ/r/+5LiS5X+54PiDyodW57jwzAaGVh/4v8WQqhyXL5rB+XMnlbze4+uHlyyfNm5YyfKGMbUly48ZObRk+bjhQ0qWj6qtLlk+fMjB5QHU1uTpnk6CwnWXKq+pKl1enS9dPmZYDXXDakoey/fwnnyub8pzUkWVjxxaxcghVal9Rl/vROhEYP3mSBJETVXuqBPHoco/9aaZJRPNV847mflTxxw0+/qTi2Zw3mmTSiaVd5xybMny83uo/655kwEo1xIAAAXuSURBVEuWv/v0KSXL39tYuryn5HfBGaXLL+yp/MypJcs/cITln3vrLD7/1lklj32wh/d88KzBWf5X587mr942O7XPqK3JM2fSKPqKh49a2ZWa5Hao8p6GuqZd3tN8i48vnMHyp3dkvryrCdA/o/75WXR9Rl9wH4HZESjV/1E8qiPr5f4Z9e/P4ki4s9jMLOPcWWxmZj1yIjAzyzgnAjOzjHMiMDPLOCcCM7OMG3CjhiQ1A0+/yrePB57rw3AGAl9zNvias+FornlaRNSXOjDgEsHRkLS8p+FTg5WvORt8zdmQ1jW7acjMLOOcCMzMMi5riWBJuQMoA19zNviasyGVa85UH4GZmR0sa3cEZmbWjROBmVnGZSYRSDpX0jpJGyR9odzxpEHS9ZKaJD1aVDZW0t2S1if/jilnjH1NUoOkeyU9JmmNpMuT8kF73ZKGSvqDpFXJNX8lKX+NpAeS3/EfSKopd6x9SVJe0sOS7kxeD/br3SjpEUkrJS1PylL5vc5EIpCUB74JvA2YA1woaU55o0rFjcC53cq+ACyNiBnA0uT1YNIOfCYi5gBnAx9L/tsO5utuBRZGxGnAXOBcSWcD/whcGREnADuAxWWMMQ2XA2uLXg/26wV4Y0TMLZo7kMrvdSYSAXAmsCEinoyINuAW4Pwyx9TnIuI+oPvO7ucDNyXPbwL+vF+DSllEbI2Ih5Lnuyn8oZjMIL7uKHgxeVmdPAJYCNyWlA+qa5Y0BXgHcG3yWgzi6z2EVH6vs5IIJgObil5vTsqyYGJEbE2ebwMmHqryQCZpOjAPeIBBft1JM8lKoAm4G/gjsDMi2pMqg+13/OvA54HO5PU4Bvf1QiG5/0rSCkmXJWWp/F57z+IMiYiQNCjHC0saAfwI+FREtBS+MBYMxuuOiA5grqQ64MfA7DKHlBpJ7wSaImKFpAXljqcfvT4inpU0Abhb0uPFB/vy9zordwTPAg1Fr6ckZVmwXdKxAMm/TWWOp89JqqaQBL4XEbcnxYP+ugEiYidwL/BaoE5S15e7wfQ7fg5wnqSNFJp1FwLfYPBeLwAR8WzybxOFZH8mKf1eZyURPAjMSEYZ1AAXAHeUOab+cgfwoeT5h4CfljGWPpe0FV8HrI2IrxUdGrTXLak+uRNAUi3wZgp9I/cC70mqDZprjogvRsSUiJhO4f/deyLigwzS6wWQNFzSyK7nwFuAR0np9zozM4slvZ1CO2MeuD4ivlrmkPqcpO8DCygsVbsd+DLwE+BWYCqF5bvfFxHdO5QHLEmvB+4HHuGV9uO/ptBPMCivW9KpFDoK8xS+zN0aEVdIOo7CN+axwMPARRHRWr5I+17SNPTZiHjnYL7e5Np+nLysAv5fRHxV0jhS+L3OTCIwM7PSstI0ZGZmPXAiMDPLOCcCM7OMcyIwM8s4JwIzs4xzIjBLSOpIVnrsevTZQnWSphevCmtWSbzEhNkr9kbE3HIHYdbffEdgdhjJuvD/lKwN/wdJJyTl0yXdI2m1pKWSpiblEyX9ONkvYJWk1yWnykv6TrKHwK+SWcFI+mSyn8JqSbeU6TItw5wIzF5R261p6P1Fx3ZFxCnANRRmqANcDdwUEacC3wOuSsqvAn6T7BcwH1iTlM8AvhkRJwE7gXcn5V8A5iXn+UhaF2fWE88sNktIejEiRpQo30hhI5gnkwXutkXEOEnPAcdGxP6kfGtEjJfUDEwpXu4gWSL77mRDEST9FVAdEX8n6RfAixSWA/lJ0V4DZv3CdwRmvRM9PD8SxevgdPBKH907KOygNx94sGhFTbN+4URg1jvvL/r398nz31FYDRPggxQWv4PCFoIfhZc3kBnd00kl5YCGiLgX+CtgNHDQXYlZmvzNw+wVtcmuX11+ERFdQ0jHSFpN4Vv9hUnZJ4AbJH0OaAYuTcovB5ZIWkzhm/9Hga2Ulgf+I0kWAq5K9hgw6zfuIzA7jKSPoDEinit3LGZpcNOQmVnG+Y7AzCzjfEdgZpZxTgRmZhnnRGBmlnFOBGZmGedEYGaWcf8f5sqO0XbGID0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.2507\n",
            "Validation accuracy 0.248\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "random leaky_relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cdcdad3e15c84bbfa524cf0e95e68136",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8933\n",
            "Validation accuracy 0.9\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "xavier leaky_relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "62f0990b77b34b4bae87137b6fdb10db",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8027\n",
            "Validation accuracy 0.812\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n",
            "he leaky_relu\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "491ea727e980474b8c0dd3945a6fe0e1",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=50.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Training accuracy 0.8933\n",
            "Validation accuracy 0.9\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 18 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "--\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}