To provide participants with practical experience in using PyTorch, allowing them to implement and experiment with the concepts introduced in the previous session.
Breakdown
Tensor Operations Exercise
Task: Create tensors, perform basic operations, and move tensors between CPU and GPU
Data Loading and Preprocessing Exercise
Task: Load a small subset of RTS data using Dataset and DataLoader
Model Building Exercise
Task: Construct a simple neural network using nn.Module
Optimization Exercise
Task: Define a loss function, an optimizer, and a learning rate scheduler
Mini Training Loop Exercise
Task: Implement a basic training loop to train the model on the small subset of RTS data
Discussion and Troubleshooting
Discuss potential improvements or extensions to the exercises
PyTorch Hands-on Lab
Goal
To provide participants with practical experience in using PyTorch, allowing them to implement and experiment with the concepts introduced in the previous session.
Breakdown