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. @ 052e5e8b6e7c38f96ed680b1414a06a771920ce6

Neal Wu 052e5e8b6e Converted the models repo to TF 1.0 using the upgrade script		8 tahun lalu
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BUILD	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	8 tahun lalu
README.md	86ecc9730d Moving example models from github.com/tensorflow/tensorflow to github.com/tensorflow/models	8 tahun lalu
__init__.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	8 tahun lalu
cifar10.py	337c66ed3f Updated summaries in the tutorial models to 1.0	8 tahun lalu
cifar10_eval.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	8 tahun lalu
cifar10_input.py	337c66ed3f Updated summaries in the tutorial models to 1.0	8 tahun lalu
cifar10_input_test.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	8 tahun lalu
cifar10_multi_gpu_train.py	052e5e8b6e Converted the models repo to TF 1.0 using the upgrade script	8 tahun lalu
cifar10_train.py	0d9a3abdca Remove all references to 'tensorflow.models' which is no longer correct	8 tahun lalu

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