README.md

Deep Learning Course Examples

Baylor University, Department of Electrical and Computer Engineering

Introduction to Deep Learning

Course Examples in TensorFlow and PyTorch:

1. ML_Examples: Linear Regression, Logistic Regression, Neural Networks
2. CNN_Examples: Convolutional Neural Networks
3. RNN_Examples: Recurrent Neural Networks
4. DRL_Examples: Deep Reinforcement Learning
5. GAN_Examples: Generative Adversarial Networks

What's new — ELC 5365 Spring 2026

A fresh suite of PyTorch demos for the Deep RL lecture has been added to DRL_Examples/ — ten self-contained scripts covering DQN, Double DQN, Dueling DQN, PER-DQN, REINFORCE, A2C, PPO, DDPG, TD3, and SAC. Each demo trains silently and pops up a live pygame window for periodic class visualizations (baseline → checkpoints → final showcase). See DRL_Examples/README_DRL_Examples.md for the full description and suggested classroom order.