Difference between revisions of "Machine Learning"
From PiWiki
| Line 12: | Line 12: | ||
[https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu Deep learning at Oxford 2015 (Nando de Freitas)] | [https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu Deep learning at Oxford 2015 (Nando de Freitas)] | ||
| + | |||
| + | [http://www.holehouse.org/mlclass/ Notes] for Andrew Ng's Coursera course. | ||
== Papers == | == Papers == | ||
| Line 23: | Line 25: | ||
[http://www.deeplearningbook.org/ http://www.deeplearningbook.org/] | [http://www.deeplearningbook.org/ http://www.deeplearningbook.org/] | ||
| − | |||
| − | |||
== S/W == | == S/W == | ||
Revision as of 12:19, 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)
