Jeff Heaton Courses

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

2 ratings

A quick bridge for programmers into Python and Google Colab, with notebook practice, core syntax, CSV queries, and file transfers.

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

Programming LSTM with Keras and TensorFlow

1 rating

Explore LSTM and GRU recurrent networks, including their memory gates, and train an LSTM in Keras on sliding-window sunspot sequences.

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

Train StyleGAN with Your Own Images

Train StyleGAN2 on your own image collection using Google Colab, from dataset preparation through resuming interrupted runs.

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

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

Install TensorFlow and Keras with GPU support on Windows 11 by configuring NVIDIA drivers, CUDA, cuDNN, Python, and Jupyter.

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

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

Configure Anaconda and Miniforge side-by-side on an Apple Silicon Mac for TensorFlow and Keras with Apple Metal support.

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

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

Train 256×256 StyleGAN2 ADA models on an 8GB RTX 3060 Ti by tuning memory, metrics, snapshots, and installation settings.

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

High-Speed Pandas on GPU in AWS Cloud with RAPIDS and NVIDIA NGC

Use NVIDIA RAPIDS to run a Pandas-like dataframe on an AWS GPU, with data stored in S3 and an XGBoost model.

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

Training a GAN from Your Own Images - StyleGAN2 ADA

Train StyleGAN2 ADA on your own image collections, from curating and converting data to running GPU training and interpreting generated results.

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

How to Choose an NVIDIA GPU for Deep Learning - Quadro, Ampere, GeForce Compared

Compare NVIDIA GPU options for deep learning by examining cooling, memory, NVLink, multiple-GPU configurations, laptop use, and GeForce and Quadro models.

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

Introduction to Q-Learning for Game Play - Lecture 12.2

Explore Q-learning in Python by building a policy table that selects actions for an environment, using a Mountain Car example and visualizations.

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

Using FFMPEG to Encode-Decode Video for Offline Video-Based Machine Learning

Use FFMPEG to extract video frames and audio, apply machine-learning transformations, and rebuild synchronized high-definition videos.

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

Multi-Variate Feature Engineering Presentation for Machine Learning

A presentation on multivariate feature engineering, including target encoding, neural-network embeddings, and perturbation-based feature ranking.

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

Keras Convolutional Neural Networks for MNIST and Fashion MNIST

Build and evaluate Keras convolutional neural networks for handwritten digit and fashion-item classification with MNIST and Fashion MNIST.

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

How Much Data Is Enough to Build a Machine Learning Model

Assess multivariate data coverage to determine whether a machine learning model has enough training data for real-world cases.

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

Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

Build autoencoders in TensorFlow and Keras for function approximation, image reconstruction, and denoising.

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