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