CSCE 479/879 (Fall 2019) Tentative Lecture Schedule


Week Lecture Hack-A-Thon
1
Aug 26–30
Course Administrivia, ML Introduction
Chapters 1, 3
1up, 6up
HCC Access, Job Submission, TensorFlow Introduction, GPU Usage
2
Sep 2–6
ANN Basics: MLPs, backpropagation, activation functions, optimizers
Chapters 4, 10, 11
1up, 6up
Holiday
3
Sep 9–13
More ANNs: loss functions, regularization, confidence intervals
Chapters 10, 11
1up, 6up
Basic TensorFlow Architectures, MNIST
Chapters 2, 3, 9
4
Sep 16–20
More ANNs: loss functions, regularization, confidence intervals
Chapters 10, 11
1up, 6up
Basic TensorFlow Architectures, MNIST, job submission
Chapters 2, 3, 9
5
Sep 23–27
Convolutional Layers
Chapter 13
1up, 6up
Convolutional Layers
Chapter 13
6
Sep 30–Oct 4
Autoencoders
Chapter 15
1up, 6up
Transfer Learning and batch normalization
Chapter 13
7
Oct 7–11
Reinforcement Learning
Chapter 16
1up, 6up
Autoencoders
Chapter 15
8
Oct 14–18
More Reinforcement Learning
Chapter 16
1up, 6up
More Autoencoders
Chapter 15
9
Oct 21–25
More Reinforcement Learning
Chapter 16
1up, 6up
Break
10
Oct 28–Nov 1
Recurrent Architectures
Chapter 14
1up, 6up
Reinforcement Learning
Chapter 16
11
Nov 4–8
More Recurrent Architectures
Chapter 14
1up, 6up
Word2vec and node2vec: 1up, 6up
Project Check-in Meetings
12
Nov 11–15
Meta-talk: 1up, 6up No Session
13
Nov 18–22
Object Detection: 1up, 6up
Recurrent Architectures/LSTMs
Chapter 14
14
Nov 25–29
Guest Speaker: Josh Brown (Deep Grave)
+ Thanksgiving Break
Project Work
15
Dec 2–6
Project Presentations Project Work
16
Dec 9–13
Project Presentations Course Evaluations/Project Work
Bring a web-enabled mobile device
Finals Week
Dec 16–20
Project Reports Due Sunday, December 15

Further Reading

  1. Deep learning, by LeCun et al., Nature 521, 436—444, 2015
  2. Neural Networks: Tricks of the Trade
  3. TensorFlow Python Environment
  4. ML Introduction
  5. Dealing with Class Imbalance
  6. ANN Introduction
  7. Convolutional Layers
  8. Autoencoders
  9. Reinforcement Learning
  10. Recurrent Architectures
  11. word2vec
  12. node2vec
  13. Object Detection
  14. Self-Driving Cars
  15. Applications
  16. Adversarial Examples
  17. Brain Modeling


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Last modified 20 November 2019; please report problems to sscott.