Created this code for my M.Sc. research project
ALexnet Convulutional Neural Network architecture is implemented using Tensorflow (version: 2.4.0) and Keras Used on CIFAR 10 Dataset (32*32 dimension) with 3 chanels (RGB) Sequential Model is used 5 convulutional layers and 3 dense layers are implemented
From 50,000 training set, 5,000 data are selected for validation test 10,000 data are used for testing purpose Data Augmentation is implemented
Accuracy Matrix and Loss Matrix are implemented Confusion matrix with Normalization is also shown
