This repository has the tutorial notebooks which you will be using for your HW. The notebooks will largely be run on COLAB.
Notebook author: Bhargav Srinviasa Desikan
Notebook editor: James Evans
Notebook reviewer: Likun Cao
Week 1 - Introduction to Machine Learning and Deep Learning
Week 2 - Everything as Data - Representing, Measuring, Integrating, Aligning
Week 3 - Deep Neural Architectures
Week 4 - Deep Neural Networks for Text
Week 5 - Deep Neural Networks for Networks, Graphs, and Tables
Week 6 - Deep Neural Networks for Images, Audio and Videos
Week 7 - Deep Reinforcement Learning
Week 8 - Sampling, Annotations, Active Learning, Adaptive Experimentation, and Continuous Learning
Week 9 - Multi-modal, Joint, Integrated Deep Learning and Digital Doubles