Difference between revisions of "Machine Learning"
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Neural Networks for Machine Learning — Geoffrey Hinton, UToronto | Neural Networks for Machine Learning — Geoffrey Hinton, UToronto | ||
- [https://www.coursera.org/learn/neural-networks Coursera course] | - [https://www.coursera.org/learn/neural-networks Coursera course] | ||
| − | - [https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9 Vids (on YouTube] | + | - [https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9 Vids (on YouTube] |
| + | - [https://www.coursetalk.com/providers/coursera/courses/neural-networks-for-machine-learning Intro vid for course] | ||
- [http://www.cs.toronto.edu/~hinton/ Hinton's homepage] | - [http://www.cs.toronto.edu/~hinton/ Hinton's homepage] | ||
Revision as of 12:42, 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 - Intro vid for course - 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)
