Jeff Heaton

Using 48GB GPU RAM to Render 16K Mandelbrot Plots

Transfer Learning for Languages and Keras (9.4)

PyTorch Regression for Deep Neural Networks with RMSE (4.3)

Setting up Windows 10 (as a Data Scientist)

10.1: Time Series Data Encoding for Deep Learning, TensorFlow and Keras (Module 10, Part 1)

Saving and Loading a Keras Neural Network (3.3)

How to Convert from Keras/Tensorflow to PyTorch

Keras Multiclass Classification for Deep Neural Networks with ROC and AUC (4.2)

Generating Faces with a Generative Adversarial Networks (GAN) in Keras/Tensorflow 2.0 (7.2)

Python 3d Programming with Blender

2020, TensorFlow 2.2 NVIDIA GPU (CUDA)/CPU, Keras, & Python 3.7 in Linux Ubuntu

Introduction to Neural Networks for C# (Class 1/16, Part 1/3)

Python Lists, Dictionaries, Sets & JSON for PyTorch (1.3)

Flask and Deep Learning Keras/TensorFlow Web Services (13.1)

2019: Installing Anaconda Python, TensorFlow and Keras for PyCharm

Using Regression with Keras Generators

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

Install Tensorflow/Keras in WSL2 for Applications of Deep Neural Networks

Installing TensorFlow, Keras, and Python in Mac

Keras Convolutional Neural Neural Networks for Regression and Classification (6.2)

Saving and Loading a PyTorch Neural Network (3.3)

Generating Images with Python and PIL for Machine Learning

Up to 150x GPU PANDAS Speedup with No Code Changes

Encoding Categorical Values in Pandas for Keras (2.2)

Temporal Convolutional Neural Networks in Keras (10.5)

Handling Revision Prompts (2.2)

Introduction to OpenAI (1.3)

LLM Text Generation (3.2)

LLM Foundation Models (3.1)

Conversation Buffer Window Memory (4.2)

Python Keras Custom Loss Function and Gradient Tape

Exploratory Data Analysis (EDA) with Plotly for Timeseries Demand Forecasting

Install WSL2 on Windows 11 with NVIDIA GPU and Docker Support

Extracting PyTorch Weights and Manual Neural Network Calculation (3.5)

13.1: Deep Neural Network Autoencoders in TensorFlow and Keras (Module 13, Part 1)

LangChain Conversations (4.1)

Calculate Loan Amortization in Python, No Libraries, from Scratch

Accessing the ChatGPT API (6.2)

Getting Started with Colab for Python and Data Science

Learn Deep Learning with Python, Keras and TensorFlow, WashU Applications of Deep Neural Networks

Keras Q-Learning in the OpenAI Gym (12.3)

Introduction to Hopfield Neural Networks (Encog)

LLM Memory with LangChain (6.3)

NVIDIA Sweeps KDDCup 2023 Recommender Algorithm Challenge

Deep Learning Course with Python, Keras and TensorFlow with Applications of Deep Neural Networks.

Grouping, Sorting, and Shuffling in Python Pandas (2.3)

Seasonality and Trend (10.4)

How to Use 2 (or more) NVIDIA GPUs to Speed Keras/TensorFlow Deep Learning Training

Python 3D Graphics for Data Science and Visualization

Programming LSTM with Keras and TensorFlow (10.2)

PyTorch and Keras TensorFlow for the Next 3 Years, Reflections from GTC 2021