CS 5001 - Intro. to Deep Learning

Fall Semester 2019

Course Documents

• Syllabus
• Coding Standards

Resources

• Online Textbook:
• Artificial Intelligence by David Poole and Alan Mackworth
• Inspiration: AlphaGo

Lecture Notes

• Background.
• Agent Systems.
• Agent Architecture.
• Machine Learning.
• Measurements of Error.
• Decision Trees.
• Linear and non-linear classifiers.
• The Neural Model.
• The Backpropagation Algorithm.
• The Backpropagation Algorithm 2.
• Convolutional Neural Networks.
• Reasoning under uncertainty (probability).
• Belief / Bayesian Networks.
• Computing with Belief Networks.
• Markov Models.
• Decision Networks.
• Markov Decision Models.

Assignments

....

• Homework #1
• Problem Description
• Problem Files:
• chocodata.txt
• chocovalid.txt


• Homework #3
• Problem Description
• Problem Files:
• hw3data.txt
• hw3valid.txt