Deep Learning Lab 3: Training an image Classifier

Description

This lab shows the steps involved in the training and testing of an image classifier:

• Load and normalizing the CIFAR10 training and test datasets using torchvision
• Define a Convolutional Neural Network
• Define a Loss function and optimizer
• Train the network
• Test the network on the test data

Here is the link to access the notebook on Google colab. It doesn’t work directly on github.