A simple Tic-Tac-Toe game powered by a neural network for intelligent gameplay.

It`s a Standard Neural Network

My first neural network experiment

A neural network made to predict final exam scores of students

contains a soft implementation of a Neural Network

Build a neural network with Javascript.

This project implements a CPU and GPU based neural network capable of supporting Sigmoid activators.

🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only NumPy and no TensorFlow, Keras, or PyTorch.

This project takes dataset from MNIST which contains (28 x 28) pixel images of 0-9 digits. I have trained a model which is an improvement of output softmax activation function. All the implemented layers are dense. Neural network contains 3 layers with 128,128 and 10 neurons respectively

Learning Neural Network from Raw

Make .h5 models from any dataset

Deep neural network trained on the MNIST dataset

A novice attempt at using machine learning to predict the stock market.

This repository contains a simple Neural Network implementation using TensorFlow, a popular machine learning framework. The example includes a basic feedforward network, training on the MNIST dataset, and evaluation of the model's accuracy and loss. It's a great introduction to TensorFlow and Neural Networks to learn and practice your skills.

Simple implementation of a neural network with variable dimensions

Digit recognition neural network

Machine Learning and neural Network - at University of Jordan

A simple MLN to recognise a handwritten digit completley build from scratch.