Neuro 140 | 240
Tutorial 1
We will cover two main topics:
- All the tools necessary for Assignment 1, including Git, Conda, Jupyter, PyTorch
- An introduction to using these tools for ML
02/01/2025. 6-7:30pm. Northwest B101
Dianna Hidalgo
Top Features
✓ Git, Conda, Jupyter, PyTorch
✓ Machine Learning 101
✓ Training and testing networks
Tutorial 2
We will cover three main topics:
- Walkthrough of starter codebase for Assignment 2
- Data loaders, datasets in PyTorch
- Intro to CNNs, RNNs, GANs, Autoencoders
02/08/2025. 6-7:30pm. Northwest B101
Dianna Hidalgo
Top Features
✓ Dataset and dataloader classes
✓ Adversarial examples
✓ Intro to CNNs, RNNs, GANs
Tutorial 3
We will cover three main topics:
- Transfer learning from pretrained models
- Image classification
- Generative models including autoencoders, Unet, etc.
02/29/2025. 6-7:30pm. Northwest B101
Dianna Hidalgo
Top Features
✓ Transfer learning
✓ Image classification
✓ Generative models
Tutorial 4
We will cover three main topics:
- Self-supervised learning algorithms
- Large language models
- Transformer architectures in vision and language
03/07/2025. 6-7:30pm. Northwest B101
Dianna Hidalgo
Top Features
✓ Self-supervised learning
✓ Transformer architecture
✓ Natural language processing