Difference between revisions of "Machine Learning"
From PiWiki
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- [http://www.cs.toronto.edu/~hinton/ Hinton's homepage] | - [http://www.cs.toronto.edu/~hinton/ Hinton's homepage] | ||
| + | [https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu Deep learning at Oxford 2015 (Nando de Freitas)] | ||
== Papers == | == Papers == | ||
Revision as of 11:06, 19 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)
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/
Flach -- Machine Learning <-- Looks Good
S/W
http://playground.tensorflow.org
SwiftNet <-- My own back propagating NN (in Swift)
