"...resnet50_tensorflow.git" did not exist on "966da7c299c0c1d997e792c20ef410ef35d968ec"
Commit b3ee015d authored by Hongkun Yu's avatar Hongkun Yu Committed by A. Unique TensorFlower
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Update readme.

PiperOrigin-RevId: 264911876
parent 9af989ce
...@@ -50,13 +50,14 @@ To make Official Models easier to use, we are planning to create a pip installab ...@@ -50,13 +50,14 @@ To make Official Models easier to use, we are planning to create a pip installab
* [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.
* More models to come! * More models to come!
Models that will not update to TensorFlow 2.x stay inside R1 directory: 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 * [boosted_trees](r1/boosted_trees): A Gradient Boosted Trees model to classify
higgs boson process from HIGGS Data Set. higgs boson process from HIGGS Data Set.
* [wide_deep](r1/wide_deep): A model that combines a wide model and deep network
to classify census income data.
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).
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