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Commit 5f9995af authored by Hongkun Yu's avatar Hongkun Yu Committed by A. Unique TensorFlower
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Update references. 

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official/README.md
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...@@ -47,13 +47,18 @@ To make Official Models easier to use, we are planning to create a pip installab ...@@ -47,13 +47,18 @@ To make Official Models easier to use, we are planning to create a pip installab
* [bert](bert): A powerful pre-trained language representation model: BERT, which * [bert](bert): A powerful pre-trained language representation model: BERT, which
stands for Bidirectional Encoder Representations from Transformers. stands for Bidirectional Encoder Representations from Transformers.
* [boosted_trees](boosted_trees): A Gradient Boosted Trees model to classify higgs boson process from HIGGS Data Set.
* [mnist](mnist): A basic model to classify digits from the MNIST dataset. * [mnist](mnist): A basic model to classify digits from the MNIST dataset.
* [resnet](resnet): A deep residual network that can be used to classify both CIFAR-10 and ImageNet's dataset of 1000 classes. * [resnet](resnet): A deep residual network that can be used to classify both CIFAR-10 and ImageNet's dataset of 1000 classes.
* [transformer](transformer): A transformer model to translate the WMT English to German dataset. * [transformer](transformer): A transformer model to translate the WMT English to German dataset.
* [wide_deep](wide_deep): A model that combines a wide model and deep network to classify census income data. * [wide_deep](wide_deep): A model that combines a wide model and deep network to classify census income data.
* More models to come! * More models to come!
Models that will not update to TensorFlow 2.x stay inside R1 directory:
* [boosted_trees](r1/boosted_trees): A Gradient Boosted Trees model to classify
higgs boson process from HIGGS Data Set.
If you would like to make any fixes or improvements to the models, please [submit a pull request](https://github.com/tensorflow/models/compare). If you would like to make any fixes or improvements to the models, please [submit a pull request](https://github.com/tensorflow/models/compare).
## New Models ## New Models
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