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

Build a neural network with Javascript.

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

contains a soft implementation of a Neural Network

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

Make .h5 models from any dataset

Deep neural network trained on the MNIST dataset

Learning Neural Network from Raw

Simple implementation of a neural network with variable dimensions

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.

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

Digit recognition neural network

Machine Learning and neural Network - at University of Jordan

The Complete project using neural network to arrive the best healt know he is stoke or not.

This project is a beginner-level deep learning project that uses TensorFlow and Keras to build and train a neural network. It aims to demonstrate how a neural network can learn the patterns and relationships between two sets of data and make predictions based on that learning. The tech stack used in this project includes TensorFlow and Keras.