**NOTE: For users interested in multi-GPU, we recommend looking at the newer [cifar10_estimator](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10_estimator) example instead.**

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CIFAR-10 is a common benchmark in machine learning for image recognition.

http://www.cs.toronto.edu/~kriz/cifar.html

Code in this directory demonstrates how to use TensorFlow to train and evaluate a convolutional neural network (CNN) on both CPU and GPU. We also demonstrate how to train a CNN over multiple GPUs.

Detailed instructions on how to get started available at:

https://www.tensorflow.org/tutorials/images/deep_cnn
