Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

Welcome to the complete code implementation for the book Hands-On Graph Neural Networks Using Python. This repository contains all the code examples from the book, organized into chapters for easy ...

The upside is that the neural network is effective and lower effort than trying to develop heuristics manually, while the downside is that you aren’t really in control of what the code is doing.

Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you ...

If you would like to learn more about building your very own neural networks or machine learning you may be interested in a free course has been made available by the team over at freeCodeCamp.org ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural ...