| Topic | Description & Objectives | Resource |
|---|---|---|
| Unsupervised Learning | K-Means clustering, PCA, t-SNE, and Autoencoders |
Open |
| Lab 1: Images with PyTorch | Working with image datasets and implementing image classification models | Colab |
| Lab 2: Unsupervised Learning | Implementing and evaluating unsupervised learning models | Colab |
| Exercise: CIFAR-10 Classification | Build a neural network classifier to classify CIFAR-10 images using PyTorch | Colab |
| Exercise Solution | Solution for the CIFAR-10 image classification neural network exercise | Colab |
