We're going to make our own Image Classifier for cats & dogs in 40 lines of Python! First we'll go over the history of image classification, then we'll dive into the concepts behind convolutional networks and why they are so amazing.

Coding challenge for this video:
https://github.com/llSourcell/how_to_make_an_image_classifier

Charles-David's winning code:
https://github.com/alkaya/TFmyValentine-cotw

Dalai's runner-up code:
https://github.com/mdalai/Deep-Learning-projects/tree/master/wk5-speed-dating

More Learning Resources:
http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/
http://cs231n.github.io/convolutional-networks/
http://deeplearning.net/tutorial/lenet.html
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
http://neuralnetworksanddeeplearning.com/chap6.html
http://xrds.acm.org/blog/2016/06/convolutional-neural-networks-cnns-illustrated-explanation/
http://andrew.gibiansky.com/blog/machine-learning/convolutional-neural-networks/
https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721#.l6i57z8f2

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