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. @ e2ecda2cdd83c76b0968eca93fb8d5c5be1716b0

Neal Wu e2ecda2cdd Updated the cifar10 model to match the internal version and to be compatible with the latest version of TensorFlow		8 years ago
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BUILD	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	9 years ago
README.md	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	9 years ago
__init__.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	9 years ago
cifar10.py	e2ecda2cdd Updated the cifar10 model to match the internal version and to be compatible with the latest version of TensorFlow	8 years ago
cifar10_eval.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	9 years ago
cifar10_input.py	e2ecda2cdd Updated the cifar10 model to match the internal version and to be compatible with the latest version of TensorFlow	8 years ago
cifar10_input_test.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	9 years ago
cifar10_multi_gpu_train.py	e2ecda2cdd Updated the cifar10 model to match the internal version and to be compatible with the latest version of TensorFlow	8 years ago
cifar10_train.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	9 years ago

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