artificial-intelligence
Random links on ai neural network for visual recognition :
http://colah.github.io/posts/2015-08-Backprop/
http://neuralnetworksanddeeplearning.com/chap1.html
http://nuit-blanche.blogspot.in/2016/04/sketching-and-neural-networks.html?m=1
http://www.nervanasys.com/demystifying-deep-reinforcement-learning/
#TensorFlow tutorials
https://github.com/nlintz/TensorFlow-Tutorials backpropagation https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
Online learning with Kafka codingjunkie.net//kafka-streams-machine-learning/
Implement neural network in python : http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
statistical modeling engine smile
http://haifengl.github.io/smile/index.html#clustering residual net using keras:
https://github.com/raghakot/keras-resnet/blob/master/README.md Good collection of ai links: github.com/szwed/documentation/blob/master/README.md
courses
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning
#books http://neuralnetworksanddeeplearning.com/chap1.html
Andrej karpathy
http://karpathy.github.io/neuralnets/
http://karpathy.github.io/2015/05/21/rnn-effectiveness/,
#nlp https://github.com/stanfordnlp/GloVe
humor
http://www.abdn.ac.uk/jokingcomputer/HowItWorksP1.shtml
music
https://jisungk.github.io/deepjazz
#poetry http://www.kurzweilcyberart.com/poetry/rkcp_how_it_works.php
https://en.m.wikipedia.org/wiki/Racter #headlines