Thu, Jan 4
Lecture 1:
Introduction
Fri, Jan 5
Recitation:
Python and Numpy Basics
2
Tue, Jan 9
Lecture 2:
Image Classification with Linear Classifiers
Thu, Jan 11
Lecture 3:
Regularization and Optimization
Assignment 0 due
(not graded)
Fri, Jan 12
Recitation:
Quiz Prep
3
Tue, Jan 16
Lecture 4:
Neural Networks and Backpropagation
Thu, Jan 18
Lecture 5:
Convolutional Neural Networks (CNNs)
Assignment 1 due
Sunday, Jan 21st at 11:59 pm
Fri, Jan 19
Recitation:
Backprop Part 1
Quiz 1
4
Tue, Jan 23
Lecture 6:
Training Neural Networks (Part 1)
Thu, Jan 25
Lecture 7:
Training Neural Networks (Part 2)
Fri, Jan 26
Recitation:
Backprop Part 2 & CNNs
5
Tue, Jan 30
Lecture 8:
Visualizing and Understanding
Assignment 2 due
today at 11:59 pm
Thu, Feb 1
Lecture 9:
Introduction to Language
Fri, Feb 2
Recitation:
Project Design
Quiz 2
6
Tue, Feb 6
Lecture 10:
RNNs & LSTMs
Project Proposal due
today at 11:59 pm
Thu, Feb 8
Lecture 11:
Attention and Transformers
Fri, Feb 9
Recitation:
Pytorch Tutorial
7
Tue, Feb 13
Lecture 12:
Modern Architectures
Assignment 3 due
today at 11:59 pm
Thu, Feb 15
Lecture 13:
Transfer Learning / Structured Prediction (Detection + Segmentation)
Fri, Feb 16
Recitation:
Training Tricks
Quiz 3
8
Tue, Feb 20
Lecture 14:
Self-supervised learning
Thu, Feb 22
Lecture 15:
LLMs
Assignment 4 due
today at 11:59 pm
Fri, Feb 23
Recitation:
Secure ML
9
Tue, Feb 27
Lecture 16:
Foundation Models
Th, Feb 29
Lecture 17:
Autoregressive & VAEs
Project Milestone due
today at 11:59 pm
Fri, Mar 1
Recitation:
Deep Learning for Robotics
Quiz 4
10
Tue, Mar 5
Lecture 18:
Gans & Diffusion
Thu, Mar 7
Lecture 19:
Reinforcement Learning
Assignment 5 due
Fri Mar 8 at 11:59 pm
Quiz 5 (in class - not recitation)
Mon, Mar 11
Project Poster Session!
10:30 am - 12:20 pm at HUB 145
Project Final Report
due today at 11:59 pm