1
Revision:
Python and NumPy basics
Thu, Sep 28
Lecture 1:
Introduction
2
Tue, Oct 3
Lecture 2:
Image Classification
Thu, Oct 5
Lecture 3:
Regularization and Optimization
3
Tue, Oct 10
Lecture 4:
Neural Networks and Backpropagation
Thu, Oct 12
Lecture 4 (Cont):
Neural Networks and Backpropagation
Revision:
Backpropagation
4
Tue, Oct 17
Lecture 5:
Convolutional Neural Networks (CNNs)
Thu, Oct 19
Lecture 6:
Training Neural Networks (Part 1)
Fri, Oct 20
Revision:
Project design
Assignment 1 due at 11:59pm
5
Tue, Oct 24
Lecture 7:
Training Neural Networks (Part 2)
Thu, Oct 26
Lecture 7 (Cont):
Training Neural Networks (Part 2)
In-class Quiz 1.
Revision:
Pytorch tutorial
Fri, Oct 27
Project proposal due at 11:59pm
6
Tue, Oct 31
Lecture 8:
Visualizing and Understanding
Makeup Quiz 1 at 4:30pm during Matt's office hours
Thu, Nov 2
Lecture 9:
Self-supervised Learning (Part 1)
7
Tue, Nov 7
Lecture 10:
Self-supervised Learning (Part 2)
Thu, Nov 9
Lecture 11:
Vision and Language + RNNs
Fri, Nov 10
Assignment 2 due at 11:59pm
Revision:
Sequence Learning
8
Tue, Nov 14
Lecture 12:
Attention and Transformers
In-class Quiz 2
Thu, Nov 16
Lecture 13:
Modern Neural Network Architectures
Fri, Nov 17
Project milestone due at 11:59pm
9
Tue, Nov 21
Lecture 14:
Structured Prediction (Detection + Segmentation)
Makeup Quiz 2 at 4:30pm during Matt's office hours
Thu, Nov 23
Thanksgiving Holiday
Revision:
Foundation Models
10
Tue, Nov 28
Lecture 15:
Generative Models
Wed, Nov 29
Assignment 3 due at 11:59pm
Thu, Nov 30
Lecture 16:
Reinforcement Learning (Part 1)
In-class Quiz 3.
11
Tue, Dec 5
Lecture 16:
Reinforcement Learning (Part 2)
Makeup Quiz 3 at 4:30pm during Matt's office hours.
Poster submission deadline for printing due at 11:59pm
Thu, Dec 7
Poster Session
Allen Center Atrium
Fri, Dec 8
Project final report due at 11:59pm