Schedule (Spring 2024)

Lectures

• Introduction to CSC 561
• Preliminaries (Math/Python)
• Perceptron
• Loss, Overfitting, Model Selection
• Gradient Descent
• Logistic Regression
• Multilayer Perceptron
• Backpropagation
• MLP/Pytorch
• Optimization -- Part 1
• Optimization -- Part 2

The following lectures use a subset of the materials from the Stanford CS231n course:

• Training NNs
• Image Filtering
• Convolutional Neural Nets
• CNN Architectures
• Object Detection

The following lectures use a subset of the materials from the Stanford CS224n course:

• Word Vectors
• Language Models, Recurrent Neural Networks
• LSTMs, Machine Translation
• Transformers
• Pretraining

Homework Assignments

• Assignment 1, due Feb 11th 11:59p
• Assignment 2, due Mar 4th 11:59p
• Assignment 3, due Apr 10th 11:59p

Exams

• Midterm Exam, Mar 7, 2-3:15pm