Difference between revisions of "Machine Learning"

Revision as of 12:37, 21 August 2016

Tuts

UFLDL Stanford (Deep Learning) Tutorial

Principles of training multi-layer neural network using backpropagation <-- Great visual guide!

Courses

Neural Networks for Machine Learning — Geoffrey Hinton, UToronto

- Coursera course
- Vids (on YouTube 
- Hinton's homepage

Deep learning at Oxford 2015 (Nando de Freitas)

Notes for Andrew Ng's Coursera course.

Papers

Applying Deep Learning To Enhance Momentum Trading Strategies In Stocks

- Hinton (2010) -- A Practical Guide to Training Restricted Boltzmann Machines
- Hinton, Salakhutdinov (2006) -- Reducing the Dimensionality of Data with Neural Networks

Books

Nielsen -- Neural Networks and Deep Learning <-- online book

http://www.deeplearningbook.org/

S/W

http://playground.tensorflow.org

SwiftNet <-- My own back propagating NN (in Swift)

Misc

Oxford AI/Trader

Links: https://github.com/memo/ai-resources