Difference between revisions of "Machine Learning"
From PiWiki
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== Tuts == | == Tuts == | ||
[http://ufldl.stanford.edu/tutorial/ UFLDL Stanford (Deep Learning) Tutorial] | [http://ufldl.stanford.edu/tutorial/ UFLDL Stanford (Deep Learning) Tutorial] | ||
| − | + | [http://home.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html Principles of training multi-layer neural network using backpropagation] <-- Great visual guide! | |
== Courses == | == Courses == | ||
Revision as of 10:41, 17 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 [1]
