Jeff Heaton Courses

Programming LSTM with Keras and TensorFlow

1 review

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
• On-Demand
• Free Video

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

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

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

Accelerate data processing with NVIDIA RAPIDS on AWS: Learn to set up GPU-powered Pandas-like dataframes for fast preprocessing and seamless integration with GPU-based models.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Training a GAN from Your Own Images - StyleGAN2 ADA

Learn to create custom GANs using your own images, from setup to training. Covers image collection, Docker setup, TFRecord conversion, and understanding GAN outputs for various projects like FishGAN and MinecraftGAN.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Training a GAN on Your Own Images - StyleGAN2 ADA PyTorch

Learn to install and use NVIDIA StyleGAN2 ADA for PyTorch on Windows 10, including setup, training, and image generation with new Ampere GPUs. Step-by-step guide for both beginners and advanced users.

• YouTube
• 33 minutes
• On-Demand
• Free Video

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

Comprehensive guide to selecting NVIDIA GPUs for deep learning, comparing Quadro, Ampere, and GeForce models. Covers cooling, memory, NVLink, and multi-GPU setups for optimal performance.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Python 3D Programming with Blender

Aprenda a criar cenas 3D em Python usando Blender. Dicas para programadores sobre interface, scripting, materiais, renderização e animação.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Introduction to Q-Learning for Game Play - Lecture 12.2

Explore Q-Learning for game AI: build policy tables, suggest optimal actions, and apply Python techniques for environment-based decision-making in this introduction.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Cloud-Based Convolution Neural Network Ensembles for Computer Vision Counting

Explore ensemble CNN techniques for computer vision counting, featuring cloud computing evaluation and strategies for achieving low RMSE scores in competitive settings.

• YouTube
• 26 minutes
• On-Demand
• Free Video

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

Learn to use FFMPEG for video encoding/decoding in machine learning, enabling frame-by-frame processing and video generation from individual images.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Exploring Style GAN2 Latent Vector - Controlling Facial Properties

Dive into StyleGAN2's latent vectors to control facial features in generated images, including a technique for adding glasses to faces.

• YouTube
• 21 minutes
• On-Demand
• Free Video