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DevlUp Webinar

Deploying Deep Learning Applications

For any deep learning model in general:

  • Train the model
  • Save the model architecture and weights(json and h5)
  • Load up the model and weights and serve them at the needed endpoint

For the MNIST Handwritten App

  • Train the model using the given Colab notebook
  • Save the json and h5 files
  • Load your model through the load.py
  • Preprocess your data to store the base64 data into image and further resize and reshape as per the model requirements.
  • Send your image as an input to the model
  • Store the prediction and make a POST request to the Web App

Steps for running inference app:

Using virtual environment:

  • python3 -m venv venv
  • source venv/bin/activate (For Linux)
  • venv/scripts/activate (Windows)
  • pip3 install -r requirements.txt

For starting the app

  • python3 app.py