Class Schedule

This page will gradually fill with more details as the topic talks and project talks are scheduled. Click on the title for more details, including reading assignments, descriptions of homework assignments, etc.

Date Topic Assignment
Aug 30Intro to Neural Nets
Backpropagation
Sep 06Cognitive Modeling Personal ads due.
Evolutionary Algorithms
Sep 13Deep Learning
Reinforcement Learning
Sep 20Neuroevolution Homework 1 (DL/Backpropagation) assigned.
Game Playing Homework 2 (RL/Neuroevolution) assigned.
Sep 27Self-Organizing Maps
Computational Neuroscience
Oct 04Brain Organization Topic talk proposals due.
Neurons and Synapses
Oct 11Subsymbolic Artificial Intelligence Homework 1 (DL/Backpropagation) due.
Review Homework 2 (RL/Neuroevolution) due.
Oct 18Exam Practice questions
Oct 25Image Processing (Humberto, Vance)
Video Processing (Caleb, Dongguang, Tiffany)
Nov 01Generative Adversarial networks (Joshua, Santiago)
Differentiable Neural Computers (Kartik, Prateek, Subham)
Nov 08Policy Search RL (Abhinav, Thomas, Tianyi) Project proposals due
Actor-Critic RL (Manu, Pratyush, Venkata)
Nov 15Multitask Learning (Aditya, Tanya)
Transfer Learning (Ginevra, Prabhat)
Nov 21No Class (TG)
Nov 29Neural Network Hardware (Sangkug)
General Intelligence (Aastha, Paul)
Dec 06Project talks & Class Evaluation
Dec ?? Project papers due.


risto@cs.utexas.edu
Thu Oct 5 12:57:16 CDT 2017