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Commit d59bcd47 authored by Hongkun Yu's avatar Hongkun Yu Committed by A. Unique TensorFlower
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Update readme 

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official/README.md
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...@@ -25,10 +25,9 @@ pip install tf-nightly ...@@ -25,10 +25,9 @@ pip install tf-nightly
available as tagged branches or available as tagged branches or
[downloadable releases](https://github.com/tensorflow/models/releases). Model [downloadable releases](https://github.com/tensorflow/models/releases). Model
repository version numbers match the target TensorFlow release, such that repository version numbers match the target TensorFlow release, such that
[branch r1.4.0](https://github.com/tensorflow/models/tree/r1.4.0) and [release v2.0](https://github.com/tensorflow/models/releases/tag/v2.0) are
[release v1.4.0](https://github.com/tensorflow/models/releases/tag/v1.4.0) are
compatible with compatible with
[TensorFlow v1.4.0](https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0). [TensorFlow v2.0.0](https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0).
If you are on a version of TensorFlow earlier than 1.4, please If you are on a version of TensorFlow earlier than 1.4, please
[update your installation](https://www.tensorflow.org/install/). [update your installation](https://www.tensorflow.org/install/).
...@@ -65,12 +64,13 @@ installable Official Models package. This is being tracked in ...@@ -65,12 +64,13 @@ installable Official Models package. This is being tracked in
* [transformer](transformer): A transformer model to translate the WMT English * [transformer](transformer): A transformer model to translate the WMT English
to German dataset. to German dataset.
* [xlnet](nlp/xlnet): XLNet: Generalized Autoregressive Pretraining for * [xlnet](nlp/xlnet): XLNet: Generalized Autoregressive Pretraining for
Language Understanding Language Understanding.
### Computer Vision ### Computer Vision
* [resnet](vision/image_classification): A deep residual network that can be * [resnet](vision/image_classification): A deep residual network that can be
used to classify both CIFAR-10 and ImageNet's dataset of 1000 classes. used to classify both CIFAR-10 and ImageNet's dataset of 1000 classes.
* [retinanet](vision/detection): A fast and power detector.
### Others ### Others
...@@ -110,7 +110,8 @@ readable, usable, and maintainable code. ...@@ -110,7 +110,8 @@ readable, usable, and maintainable code.
* Code should be well documented and tested. * Code should be well documented and tested.
* Runnable from a blank environment with relative ease. * Runnable from a blank environment with relative ease.
* Trainable on: single GPU/CPU (baseline), multiple GPUs, TPU * Trainable on: single GPU/CPU (baseline), multiple GPUs, TPU
* Compatible with Python 2 and 3 (using [six](https://pythonhosted.org/six/) when necessary) * Compatible with Python 3 (using [six](https://pythonhosted.org/six/) when
being compatible with Python 2 is necessary)
* Conform to [Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md) * Conform to [Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)
**Implementation guidelines** **Implementation guidelines**
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