A neural network, written in Ruby

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

Pure Golang implementation of the algorithm Rprop+

RPROP Neural Network with Delphi

A C++ implementation of feed-forward neural networks.

gradient descent optimization algorithms

fann networks+forex + MILK + met8

Bachelor Thesis - Reinforcement learning using NFQ on humanoid robot NAO

This doesn't work, not the code, the whole premise. Don't expect to get rich quick! The code behind this is a basic Feed Forward neural network, trained with RPROP, which I wrote from scratch. It doesn't have multithreading either, so not useful for most things.

A dynamic multilayer neural network implementation with RProp for MNIST classification.

Rprop for tch-rs

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.