Difference between revisions of "Machine Learning"
From PiWiki
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== Books == | == Books == | ||
| − | [http://neuralnetworksanddeeplearning.com/index.html Nielsen -- Neural Networks and Deep Learning] | + | [http://neuralnetworksanddeeplearning.com/index.html Nielsen -- Neural Networks and Deep Learning] <-- online book |
[http://www.deeplearningbook.org/ http://www.deeplearningbook.org/] | [http://www.deeplearningbook.org/ http://www.deeplearningbook.org/] | ||
| + | [http://www.cs.bris.ac.uk/~flach/mlbook/materials/mlbook-beamer.pdf Flach -- Machine Learning] <-- Looks Good | ||
== S/W == | == S/W == | ||
Revision as of 17:47, 18 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
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)
