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