Jeff Heaton Courses

Introduction to Python and Google Colab for Data Science and Machine Learning

1 rating

Quick Python and Google CoLab tutorial for data science and machine learning, covering basics, file operations, and environment setup for beginners familiar with other programming languages.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Programming LSTM with Keras and TensorFlow

1 rating

Explore LSTM and GRU layers for recurrent neural networks in Keras, laying the groundwork for NLP and time series prediction with practical examples and implementations.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Applications of Deep Neural Networks - 2016 Version

Dive into deep learning fundamentals through recorded university lectures covering neural network applications and practical implementations.

• YouTube
• 23 hours 23 minutes
• Self-Paced
• Free Video

Introduction to Neural Networks for Java

Master neural network programming fundamentals in Java through hands-on implementation of algorithms, backpropagation, genetic algorithms, and real-world applications.

• YouTube
• 6 hours 48 minutes
• Self-Paced
• Free Video

Introduction to Neural Networks Programming in C# - 2009

Discover neural network programming fundamentals in C# through hands-on implementation of backpropagation, genetic algorithms, and real-world applications like stock prediction.

• YouTube
• 6 hours 49 minutes
• Self-Paced
• Free Video

Neural Network Calculation - Feedforward and Recurrent Network Fundamentals

Master feedforward and recurrent neural network calculations through step-by-step demonstrations of activation functions, output computation, and Elman/Jordan architectures.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Set Up Your Own LLM Server at Home - Run Local AI Models with Ollama and NVIDIA DGX Spark

Discover how to deploy Ollama on NVIDIA DGX Spark to run 70B+ parameter models locally with Docker, WebUI access, and OpenAI-compatible Python integration for your own AI applications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Applications of Generative AI - Introduction and Overview

Explore hands-on GenAI applications using Python, LLMs, LangChain, RAG with graph databases, image generation, and prompt engineering for innovative AI solutions.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Applications of Deep Neural Networks with PyTorch Course Overview - 1.1, Spring 2026

Discover PyTorch deep learning fundamentals covering CNNs, LSTMs, GANs, and reinforcement learning for computer vision, NLP, and time series applications with hands-on Python implementation.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Applications of Deep Neural Networks with PyTorch - Course Overview - 1.1

Discover PyTorch deep neural networks and their unique applications compared to traditional machine learning models in this Washington University hybrid format introduction.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Applications of Deep Neural Networks with PyTorch - Course Overview - 1.1

Discover PyTorch deep neural networks and their applications through Washington University's hybrid format, exploring how neural networks excel beyond traditional machine learning models.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Train StyleGAN with Your Own Images

Learn to train StyleGAN with your own images using Colab, covering image preparation, training setup, and resuming training for both StyleGAN2 and StyleGAN3 models.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Comprehensive guide for setting up GPU-accelerated deep learning environment on Windows 11, covering CUDA, CUDNN, Keras, and TensorFlow installation with step-by-step instructions.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Installing Miniforge and Anaconda/Miniconda Side-by-Side on Mac M1 Monterey

Learn to install and run Anaconda and Miniforge simultaneously on Mac M1, including TensorFlow and Keras setup, with step-by-step guidance and troubleshooting tips.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Training StyleGAN2 ADA PyTorch Images with Low GPU Memory - NVIDIA GEFORCE RTX 3060 Ti

Learn to train StyleGAN2 ADA PyTorch on NVIDIA GEFORCE RTX 3060 Ti with limited GPU memory. Optimize settings, increase swap space, and adjust evaluation metrics for efficient 256x256 GAN training.

• YouTube
• 23 minutes
• Self-Paced
• Free Video