This document will help you get started with the course homework assignments. Please read it carefully as it contains crucial information.
Homework assignments will appear here once published.
Before starting the first assignment, please carefully read the getting started page.
Basic notions in machine-learning and opitimization
Backpropagarion, optimization, training, and convolutional architectures
Sequence models, variational autoencoders, GANs
Deep reinforcement learning, policy gradients, actor-critic, course summary and mini-project.
How to connect to and run jobs on the course servers.