**NOTE**: For the most part, you will find a newer version of this code at [models/research/slim](https://github.com/tensorflow/models/tree/master/research/slim). In particular:
**NOTE: For the most part, you will find a newer version of this code at [models/research/slim](https://github.com/tensorflow/models/tree/master/research/slim).** In particular:
*`inception_train.py` and `imagenet_train.py` should no longer be used. The slim editions for running on multiple GPUs are the current best examples.
*`inception_train.py` and `imagenet_train.py` should no longer be used. The slim editions for running on multiple GPUs are the current best examples.
*`inception_distributed_train.py` and `imagenet_distributed_train.py` are still valid examples of distributed training.
*`inception_distributed_train.py` and `imagenet_distributed_train.py` are still valid examples of distributed training.
For performance benchmarking, please see https://www.tensorflow.org/performance/benchmarks.
For performance benchmarking, please see https://www.tensorflow.org/performance/benchmarks.
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# Inception in TensorFlow
# Inception in TensorFlow
[ImageNet](http://www.image-net.org/) is a common academic data set in machine
[ImageNet](http://www.image-net.org/) is a common academic data set in machine
