CSCE 496/896 (Spring 2019) Lecture Schedule


Week Lecture Hack-A-Thon
1
Jan 7–11
Course Administrivia, ML Introduction
Chapters 1, 3
1up, 6up
HCC Access, Job Submission, TensorFlow Introduction, GPU Usage
2
Jan 14–18
ANN Basics: MLPs, backpropagation, activation functions, optimizers
Chapters 4, 10, 11
1up, 6up
Basic TensorFlow Architectures, MNIST
Chapters 2, 3, 9
3
Jan 21–25
More ANNs: loss functions, regularization, confidence intervals
Chapters 10, 11
1up, 6up
Holiday
4
Jan 28–Feb 1
More ANNs: loss functions, regularization, confidence intervals
Chapters 10, 11
1up, 6up
Basic TensorFlow Architectures, MNIST, job submission
Chapters 2, 3, 9
5
Feb 4–8
Convolutional Layers
Chapter 13
1up, 6up
Convolutional Layers
Chapter 13
6
Feb 11–15
Autoencoders
Chapter 15
1up, 6up
Transfer Learning and batch normalization
Chapter 13
7
Feb 18–22
Reinforcement Learning
Chapter 16
1up, 6up
Autoencoders
Chapter 15
8
Feb 25–Mar 1
More Reinforcement Learning
Chapter 16
1up, 6up
More Autoencoders
Chapter 15
9
Mar 4–8
Recurrent Architectures
Chapter 14
1up, 6up
Reinforcement Learning
Chapter 16
10
Mar 11–15
More Recurrent Architectures
Chapter 14
1up, 6up
Word2vec and node2vec: 1up, 6up
Recurrent Architectures/LSTMs
Chapter 14
11
Mar 18–22
Break Break
12
Mar 25–29
Object Detection: 1up, 6up
Meta-talk: 1up, 6up
Neural Machine Translation
Chapter 14
13
Apr 1–5
Meta-talk: 1up, 6up
Structured Prediction and Probabilistic Graphical Models : 1up, 6up
Project Work
14
Apr 8–12
Guest Speakers
Monday: Thomas Cleberg, Mutual of Omaha
Wednesday: Ben Cook, Hudl
Friday: No class
Project Check-in Meetings
15
Apr 15–19
Project Presentations Project Work
16
Apr 22–26
Project Presentations Project Work

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. Applications
  15. Adversarial Examples
  16. Brain Modeling


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Last modified 15 July 2019; please report problems to sscott.