To Do

• Complete the PyTorch Blitz tutorial.
• Create a neural network to classify the preloaded data in the Jupyter Notebook provided
  • Create data loader
  • Create model
  • Create criterion
  • Data loop over epochs and batches
  • Iterate over the minibatches in random order
  • Reset gradient and perform forward pass, backpropogation, and optimizer step
  • Validate on test set
• Push your code to submit your work
• Attend a mentor session to defend your implementation and answer questions

Important Note

• If you do not want to use a Jupyter Notebook, use these commands to import the data: data_train = torchvision.datasets.MNIST('./', download=True, train=True, transform = transform) data_test = torchvision.datasets.MNIST('./', download=True, train=False, transform = transform)
• Please pay attention when reading through the tutorial because the mentors will be asking you questions
• If you have issues with installation, post on Piazza first so that others can view possible solutions