Lab 10: Pytorch

In today’s class, we will learn the basics of PyTorch, a popular deep learning framework, and use it to build and train a simple Multi-Layer Perceptron (MLP) model.

We will cover:

• Basic PyTorch tensors and operations
• Defining an MLP model using nn.Module
• Setting up loss functions and optimizers
• Training
• Improving your model (mini-batch, dropout)
• Evaluating model performance on a validation set

Please find this file

Exercise

You can find the training set from the following links:

• X_train.csv
• y_train.csv

Try to build your own model and let’s see whose model is the best on test set!

Test set:

• X_test.csv
• y_test.csv