Links to Text, Code and Demos for Deep Learning Meetups

Pattern Classification, by Duda,Hart,Stork - http://www.amazon.com/Pattern-Classification-2nd-Computer-Manual/dp/0471703508/ref=sr_1_1?ie=UTF8&qid=1457133173&sr=8-1&keywords=pattern+classification
Neural Networks for Pattern Classification, by Bishop - http://www.amazon.com/gp/product/0198538642?keywords=neural%20networks%20for%20pattern%20recognition&qid=1457129785&ref_=sr_1_1&sr=8-1
Basic Backpropagation Example - http://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/

All things Deep Learning - http://deeplearning.net
Convolutional NN e-book and links to code, by Nielsen - http://neuralnetworksanddeeplearning.com
Recurrent NN Blog (Language Models), by Karpathy - http://karpathy.github.io/2015/05/21/rnn-effectiveness/
Tutorial on Recurrent NN with links to code - http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
Tutorial on RNN with extra detail on LSTM - http://colah.github.io/posts/2015-08-Understanding-LSTMs/

A DeepNN with R+H2O for digits - http://discuss.analyticsvidhya.com/t/script-in-h2o-in-r-to-get-you-into-top-30-percentile-for-the-digit-recognizer-competition/6651
Another R Blog for R+H2O on some small datasets - http://www.r-bloggers.com/things-to-try-after-user-part-1-deep-learning-with-h2o/
Tips for improving H2O Deep Learning performance - http://www.lauradhamilton.com/10-tips-for-better-deep-learning-models
Github for CNN on Theano+Python for Digits - https://github.com/mnielsen/neural-networks-and-deep-learning
Theano download and documentation - http://deeplearning.net/software/theano/
Code for running LSTM RNN Language Models - https://github.com/karpathy/char-rnn
Download, installation, documentation for Lua+Torch - http://torch.ch/docs/getting-started.html#_

Whale Recognition (1st place blog) - http://blog.kaggle.com/2016/01/29/noaa-right-whale-recognition-winners-interview-1st-place-deepsense-io/
Molecular Identification (1st place blog) - http://blog.kaggle.com/2012/11/01/deep-learning-how-i-did-it-merck-1st-place-interview/
DeNoising Dcouments (blog) - http://colinpriest.com/2015/11/08/denoising-dirty-documents-part-11/