radu/TensorFlow-Models: This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors. To propose a model for inclusion, please submit a pull request.

Neal Wu 0505b99c40 Merge pull request #1127 from AsterAI/fix_cifar_logs		%!s(int64=8) %!d(string=hai) anos
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BUILD	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	%!s(int64=8) %!d(string=hai) anos
README.md	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	%!s(int64=8) %!d(string=hai) anos
__init__.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	%!s(int64=8) %!d(string=hai) anos
cifar10.py	dac6755b12 Update cifar10.py	%!s(int64=8) %!d(string=hai) anos
cifar10_eval.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	%!s(int64=8) %!d(string=hai) anos
cifar10_input.py	a2986acc1a correct order of argument for tf.image.resize_image_with_crop_or_pad	%!s(int64=8) %!d(string=hai) anos
cifar10_input_test.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	%!s(int64=8) %!d(string=hai) anos
cifar10_multi_gpu_train.py	00ffa603f2 Manually fixed many occurrences of tf.concat	%!s(int64=8) %!d(string=hai) anos
cifar10_train.py	74ad728e9e Use FLAGS.log_frequency directly	%!s(int64=8) %!d(string=hai) anos

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:

http://tensorflow.org/tutorials/deep_cnn/

README.md