YouTube Link: https://youtu.be/mozBidd58VQ
00:00:00 - Introduction & goal of the coding challenge 00:00:15 - What is PyTorch and why it's used 00:01:44 - Project setup and required imports 00:03:22 - Loading and preprocessing the MNIST dataset 00:04:33 - Defining the neural network architecture 00:08:09 - Model initialization, GPU usage, optimizer, and loss function 00:09:34 - Training loop and backpropagation 00:13:01 - Saving the trained model 00:16:45 - Loading the model and making predictions 00:19:15 - Testing the model with different images 00:20:06 - Wrap-up, code sharing, and next steps