Deep Learning Course

This course covers a framework for training deep models using PyTorch. This framework includes:

1. Loading your data and visualizing it using Datasets and DataLoader
2. Defining deep neural networks using torch.nn
3. Choosing a loss function and declaring an optimizer
4. Training
5. Evaluating the model

This course focuses on supervised machine learning.

Course github: poonawalalab/dlcourse