A C# implementation of a simple feed-forward artificial neural network.

Testing various Python libraries to implement a Feedforward Neural Network for Regression

🚽 A neural network for categorising a pair of words e.g. ["CAT", "HAT"] as RHYMING or NOT RHYMING

SolarCloud: Forecasting Photovoltaic Production

Multi-Layer Perceptron Feedforward neural network. Backpropagation and Genetic learning algorithm. Plus WinForms UI.

Simple tutorials using Keras Framework

KNN and feedforward ANN implementation in java used to slove the OptiDigit dataset problem

Implementação simples da rede neural Perceptron Multicamadas em Javascript.

Jupyter notebooks to create random file transfer data on an ElasticSearch Cluster in order to train a neural network to predict the file transfer duration.

FeedForward Neural Networks Library ifrom scratch implemented using CUDA and vc++, With simple example application for MNIST dataset implementation with 97.82% Accuracy

Wrangling on MNIST dataset based on Andrew Ng's course Machine Learning and Geoffrey Hinton's course Neural Networks for Machine Learning from Coursera.

Machine Learning library for python

Basic feedforward neural network written from scratch in Python along with a manual explaining how to implement basic neural networks

filling in missing values in climate data

my submissions and drafts while doing the nanodegree in udacity

Research project on feedforward and supervised learning

Feedforward neural network with backpropagation

Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.

Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.