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Practical advice on training deep nets

• http://fastml.com/deep-learning-these-days/
• https://www.reddit.com/r/MachineLearning/comments/47p2u8/is_layerwise_pretraining_obsolete/
• https://www.reddit.com/r/MachineLearning/comments/2d868l/pretraining_deep_nets_out_of_fasion/

• https://www.reddit.com/r/MachineLearning/comments/20wh21/how_does_regularization_affect_dropout_while/cg9afo4

• Imbalanced classes http://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/
• [Scroll for Practical Advice] http://yyue.blogspot.com/2015/01/a-brief-overview-of-deep-learning.html

Autoencoders

• http://fastml.com/good-representations-distance-metric-learning-and-supervised-dimensionality-reduction/

NTM

• https://www.reddit.com/r/MachineLearning/comments/2m9mga/implementation_of_neural_turing_machines/
• https://github.com/shawntan/neural-turing-machines