A simple Tic-Tac-Toe game powered by a neural network for intelligent gameplay.
-
Updated
Apr 8, 2023 - Python
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
A simple Tic-Tac-Toe game powered by a neural network for intelligent gameplay.
Deep neural network trained on the MNIST dataset
contains a soft implementation of a Neural Network
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only NumPy and no TensorFlow, Keras, or PyTorch.
Digit recognition neural network
A novice attempt at using machine learning to predict the stock market.
Machine Learning and neural Network - at University of Jordan
Simple implementation of a neural network with variable dimensions
The Complete project using neural network to arrive the best healt know he is stoke or not.
AI character navigates an aggressive forest.
A Neural network that will classify SMS messages as either "ham" or "spam" using LSTM in a Keras Sequential model with 99.6% accuracy and 1.6% loss.
Tensorflow/Keras and Pytorch/Skorch models for multiclass classification, hyperparameter tuning, and model evaluation.
A feedforward neural network for handwritten digit recognition
Neural Network Library for Python (under construction)
Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset
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
Neural Networks scratch