Vanilla neural network implemented in all major languages

A simple Neural Network that learns to predict the XOR logic gates.

In this repository, I implemented a proof of concept of all my theoretical knowledge of neural network to code a simple neural network for XOR logic function from scratch without using any machine learning library

A NEAT library in Python

Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.

XOR gate which predicts the output using Neural Network 🔥

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

Projects of the course Artificial Neural Networks by Dr. Mozayani - Fall 2019

Implements a neural network learning XOR gate in your favourite languages !

Many different Neural Networks in Python Language. This repository is an independent work, it is related to my 'Redes Neuronales' repo, but here I'll use only Python.

exercises with neural nets

A L-Layers XOR Neural Network using only Python and Numpy that learns to predict the XOR logic gates.

Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

Simulation of an XOR neural network that provides 100% classification using the Backpropagation learning algorithm

Implementation of XOR Logic Gate using Simple Neural Network (Algorithm : Gradient Descent)

My First homemade neural network

Implementation of multi-layer perceptron neural network

Simple toy neural networks in JAX solving XOR

A basic neural network written in C++ that can calculate the expected output of an xor between two numbers.