Neural Network
Tutorials
A Step by Step Backpropagation Example
Artificial Neural Networks (ANN) Introduction
Papers
A Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to Bayesian Optimal Image Demosaicking
- project page: http://www.ipol.im/pub/art/2015/137/
- paper: http://www.ipol.im/pub/art/2015/137/article_lr.pdf
- code: http://www.ipol.im/pub/art/2015/137/NN.tar.gz
CrAIg: Using Neural Networks to learn Mario
- blog: https://medium.com/@savas/craig-using-neural-networks-to-learn-mario-a76036b639ad
- github: https://github.com/joenot443/crAIg
- paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
Blogs
Getting It Done - What I learnt from finishing the Neural Network Algorithm
- blog: http://nicksparallellaideas.blogspot.com.au/2015/12/getting-it-done-what-i-learnt-from.html
- blog: http://pan.baidu.com/s/1sk6VPBf
Learning How To Code Neural Networks
Watch Tiny Neural Nets Learn
http://swanintelligence.com/watch-tiny-neural-nets-learn.html
Rohan & Lenny #1: Neural Networks & The Backpropagation Algorithm, Explained
The Essence of Artificial Neural Networks
https://medium.com/@ivanliljeqvist/the-essence-of-artificial-neural-networks-5de300c995d6#.yk0kydmf8
Tools
Neural Networks demo in Javascript
Interactive visualization of artificial neural networks
- homepage: http://experiments.mostafa.io/public/ffbpann/
- github: https://github.com/drdrsh/interactive-bpann
NNX: Neural networks for Excel
- intro: “Multilayer perceptrons done the Excel way”
- homepage: https://nnx-addin.org/
- github: https://github.com/ikhramts/nnx
GNU Gneural Network
Videos
Neural Networks with PHP