TensorFlow Tutorial - CIFAR-10


Notes by Magnus Erik Hvass Pedersen: https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/06_CIFAR-...

This tutorial shows how to make a Convolutional Neural Network for classifying images in the CIFAR-10 data-set. It also shows how to use different networks during training and testing.

This builds on the previous tutorials, so you should have a basic understanding of TensorFlow and the add-on package Pretty Tensor. A lot of the source-code and text in this tutorial is similar to the previous tutorials and may be read quickly if you have recently read the previous tutorials.

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