“Docker is the easiest way to run TensorFlow on a GPU…”
One of the fastest ways to get started with TensorFlow and Keras on your local developer machine is using Docker. This is especially useful if you are working on a Windows machine with an NVIDIA GPU to speed up model training and inference. I have put together the following detailed setup guide to help you get up and running more quickly.
Continue reading “Setup TensorFlow with GPU acceleration using Windows, Docker and WSL2”
Save Machine Learning models, time, and energy (and maybe even the planet)
I’ve noticed when going through lengthy ML tutorials for Keras and TensorFlow that I often run the same models repeatedly in Jupyter Notebook, regardless of the fact they have no changes. This is natural for me with a notebook with multiple models. I also find that typing the code into a new notebook, rather than just clicking
Continue reading “Caching Deep Learning Models with TensorFlow, Keras and PTMLib”
Shift + Enter, aids my understanding and retention of what I have learned.
Xandly5 is a lyrics generator powered by Natural Language Processing (NLP) and the Keras and TensorFlow frameworks. Deep Learning models are trained on separate collections…
Continue reading “Xandly5 – Generate Lyrics with Deep Learning and Natural Language Processing”
PTMLib is a set of utilities that I have built and used while working with Machine Learning frameworks such as Scikit-Learn and TensorFlow…
Continue reading “Announcing PTMLib – Pendragon Tools for Machine Learning”
If you are interested in pursuing the path of Machine Learning and Artificial Intelligence, you may have run across certain objections, or have your own personal doubts, as to whether or not this is for you. Here are some you may run into…
Continue reading “You Can Do Machine Learning and AI”