UT Dallas CS 6301 Convolutional Neural Networks

This is the home page for a 1 semester graduate special topics course on convolutional neural networks in the Computer Science Department at UT Dallas that covers:

• Math: linear algebra, algorithms, probability, calculus and analysis
• Networks: design, training and implementation
• Applications: vision, language, speech and games

While the title of the course is convolutional neural networks, the course covers many parts of deep learning including convolutional neural networks, recurrent neural networks and attention based models.

- Note: GitHub stops displaying pages in a pdf file after 50, download the pdf to see pages 50+

Introduction

Introduction

Math

Linear algebra
Algorithms
Probability
Calculus

Networks

Design
Training
Implementation

Applications

Vision
Language
Speech
Games
Art (placeholder)

Summary

Summary