Commit c96ef836 authored by Neal Wu's avatar Neal Wu Committed by GitHub
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Change the inception README to clarify the folder is mostly outdated (#2396)

parent 30c916e2
**NOTE**: For the most part, you will find a newer version of this code at [models/slim](https://github.com/tensorflow/models/tree/master/slim).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_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.
# 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
...@@ -22,11 +29,6 @@ model architecture. ...@@ -22,11 +29,6 @@ model architecture.
## Description of Code ## Description of Code
**NOTE**: For the most part, you will find a newer version of this code at [models/slim](https://github.com/tensorflow/models/tree/master/slim).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_distributed_train.py` and `imagenet_distributed_train.py` are still valid examples of distributed training.
The code base provides three core binaries for: The code base provides three core binaries for:
* Training an Inception v3 network from scratch across multiple GPUs and/or * Training an Inception v3 network from scratch across multiple GPUs and/or
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