ELC 5396: Introduction to Deep Learning

Syllabus

• ELC 5396 Syllabus

Lecture Handouts

• 01Review of Deep Neural Network
• 02Regularization and Optimization for Deep Learning
• 03Distributed Deep Learning
• 04Convolutional Neural Networks for Signal Processing
• 05Attention-based Neural Networks for Signal Processing
• 06Generative Adversarial Networks
• 07Deep Reinforcement Learning

Course Examples in GitHub

• 01Linear Regression and Neural Network for Function Approximation
• 02Convolutional Neural Networks Examples
• 03Recurrent Neural Networks Examples
• 04Generative Adversarial Networks Examples
• 05Deep Reinforcement Learning Examples

© Liang (Leon) Dong, Baylor University 2023