BAI: Tutorial sessions

Neuro 140 | 240

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Tutorial 1

We will cover two main topics:

  1. All the tools necessary for Assignment 1, including Git, Conda, Jupyter, PyTorch
  2. An introduction to using these tools for ML

02/05/2025. 6-7:15pm. 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:

  1. Walkthrough of starter codebase for Assignment 2
  2. Data loaders, datasets in PyTorch
  3. Intro to CNNs, RNNs, GANs, Autoencoders

02/12/2025. 6-7:15pm. 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:

  1. Transfer learning from pretrained models
  2. Image classification
  3. Generative models including autoencoders, Unet, etc.

02/26/2025. 6-7:15pm. Northwest B101

Dianna Hidalgo

Top Features

Transfer learning
Image classification
Generative models

Tutorial 4

We will cover three main topics:

  1. Self-supervised learning algorithms
  2. Large language models
  3. Transformer architectures in vision and language

03/05/2025. 6-7:15pm. Northwest B101

Dianna Hidalgo

Top Features

Self-supervised learning
Transformer architecture
Natural language processing