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Schedule

This tentative schedule will be updated during the semester.

August

Week Topic Material Reading Assignments
Week 1:
Aug 24, 26
Overview of course. Review of neural networks training and use. 01 Introduction to CS545
02 Searching for Good Weights in a Linear Model
Ungraded Quiz 1 due Friday, August 27, 10:00 PM
Week 2:
Aug 31, Sept 2
Regression with neural networks. 03 Fitting Simple Models Using Gradient Descent in the Squared Error
04 Introduction to Neural Networks

September

Week Topic Material Reading Assignments
Week 3:
Sept 7, 9
A1 questions. Optimizers. Neural Network class. 05 Optimizers A1 Three-Layer Neural Network due Wednesday, Sept 8th, at 10:00 PM
Week 4:
Sept 14, 16
A2. Autoencoders. Classification. 06 Autoencoders
07 Introduction to Classification
Week 5:
Sept 21, 23
A2 questions. Classification. 08 Classification with Linear Logistic Regression
09 Classification with Nonlinear Logistic Regression Using Neural Networks
A2 NeuralNetwork Class due Tuesday, Sept. 21, at 10:00 PM . Examples of good solutions are available here.
Week 6:
Sept 28, 30
Lectures and Chuck's office hours canceled this week. Prerecorded lectures available in Echo360 in Canvas on Jax and Streamlit packages. 10 JAX
neuralnetworks_app.tar
JAX Ecosystem
Streamlit

October

Week Topic Material Reading Assignments
Week 7:
Oct 5, 7
Convolutional neural networks. 11 Convolutional Neural Networks
CNN Backpropagation Notes
The Great AI Reckoning A3 Neural Network Classifier due Friday, Oct 8, at 10:00 PM. Examples of good solutions are available here.
Week 8:
Oct 12, 14
Pytorch. Convolutional neural nets 12 Introduction to Pytorch
13 Convolutional Neural Networks in Pytorch
14 Convolutional Neural Networks in Numpy
Week 9:
Oct 19, 21
Reinforcement Learning 15 Introduction to Reinforcement Learning
16 Reinforcement Learning with Neural Network as Q Function
Week 10:
Oct 26, 28
Reinforcement Learning 17 Reinforcement Learning for Two Player Games
18 Reinforcement Learning to Control a Marble
A4.2 Convolutional Neural Networks due Monday, Oct 25, at 10:00 PM.

November

Week Topic Material Reading Assignments
Week 11:
Nov 2, 4
Brain-Computer Interfaces Project Proposal and Report Example due Friday, Nov. 5, at 10:00 PM.
Week 12:
Nov 9, 11
Explainable AI A5 will be posted by Oct. 29, due Friday, Nov 12, at 10:00 PM.
Week 13:
Nov 16, 18
Other topics
Nov 23, 25 Fall Recess !!
Week 14:
Nov 30, Dec 2

December

Week Topic Material Reading Assignments
Week 15:
Dec 7, 9
Dec 13-17 Final Exam Week No Exams in this course
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