Swift Artificial Intelligence (SAI) framework aims to be an easy to use library for creating, training and evaluating artificial neural networks.

A workplace for personal AI studies.

Simple multi layer perceptron application using feed forward back propagation algorithm

An implementation of a simple, multilayer perceptron with one hidden layer

Implementation of some ANN's, to separate into different classes or recognize patterns using supervised and non-supervised learning, such as Adaline, Hopfield, Multilayer and Simple Perceptron using MATLAB

Implementation of multi-layer perceptron

Heuristic evaluation of Othello board by multi-layer perceptron for effective 1-ply tree search (the more keywords the merrier)

A toy library written in Java to better understand Artificial Neural Networks.

Some machine learning applications

Multi Layer Perceptron

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

Contains programs I am writing as part of my CS256 Artificial Intelligence coursework. The course focused on equipping us with an understanding of the principles underlying Deep Learning, the current problem-solving approaches, and the skills to assess ongoing research in this fast-moving field. The course has been instrumental in cementing my i…

Raw implementation of mlp classifier in python using numpy.

This repository is for managing all my assignment for Artificial Intelligence Course

Implementations of a Multilayer Perceptron, a Convolutional Neural Network, and Monte Carlo Tree Search applied to Tic-Tac-Toe and Connect Four. A learning project for me to construct the elements in Google's AlphaZero from the ground up.

mlp neural network with 2 hidden layer

📚 A basic C# MLP/ANN library

Neural network + Nestrov momentum optimization