Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with ...

This repository contains code samples for my book on Neural Networks and Deep Learning. The code is written for Python 2.6 or 2.7. README.md · Actions · Security

A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together ...

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

Contribute to selfedu-rus/neural-network development by creating an account on GitHub.

Code for the Make Your Own Neural Network book. License: GPL-2.0 license. 2.3k stars. 1.5k forks. Branches. Tags. Activity. Star. Notifications.

A simple library for implementing Neural-Networks(NNs) easily and effectively on any Arduino board and other microcontrollers.

Neural networks have revolutionized the field of artificial intelligence and are the backbone of popular algorithms today, such as ChatGPT, Stable-Diffusion ...

In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by ...

TensorSpace is a neural network 3D visualization framework built by TensorFlow.js, Three.js and Tween.js.