A simple Tic-Tac-Toe game powered by a neural network for intelligent gameplay.
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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.
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.
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
Deep neural network trained on the MNIST dataset
Simple implementation of a neural network with variable dimensions
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Machine Learning and neural Network - at University of Jordan
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.
Neural Networks scratch
A feedforward neural network for handwritten digit recognition
Intro to improving the accuracy of a neural network with convolutions and generating more precise predictions
AI character navigates an aggressive forest.
Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset