Bearded-android-docs

Created Friday 06 December 2013

• http://itee.uq.edu.au/~cogs2010/cmc/chapters/BackProp/ - good overview of neural networks and the backpropagation algorithm
• Neural Networks: a Comprehensive Foundation by Simon Haykin - thorough yet complex overview of neural networks
• http://msdn.microsoft.com/en-us/magazine/jj658979.aspx - good hands-on explanation of the backpropagation algorithm
• http://jeremykun.com/2012/12/09/neural-networks-and-backpropagation/ - really awesome theoretical explanation of the backpropagation algorithm and overrall a very good blog about machine-learning.
• http://page.mi.fu-berlin.de/rojas/neural/chapter/K7.pdf - Chapter 7: The Backpropagation Algorithm from Neural Networks: A Systematic Introduction by Raul Rojas - good theoretical explanation of the backpropagation algorithm. Alternative proof without calculus (well,... mostly). Bonus points for explaning the backprop in matrix form
• https://dspace.ist.utl.pt/bitstream/2295/57975/1/licao_20.pdf - gave me the aha! moment for when I finally got training with multiple examples
• http://tgmstat.wordpress.com/2013/06/12/draw-neural-network-diagrams-graphviz/ - how to draw neural networks with Graphviz
• http://yann.lecun.com/exdb/publis/index.html - links to other topics
• Online Book

Learning

• LeCun (1989). Generalization and Network Design Strategies

Convolutional Networks

• See :NeuralNetworks:ConvolutionalNetwork:Resources

Java Matrix Libraries

• https://sites.google.com/site/piotrwendykier/software/parallelcolt