![No Maintenance Intended](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
![TensorFlow Requirement: 1.x](https://img.shields.io/badge/TensorFlow%20Requirement-1.x-brightgreen)
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# Legacy Models

The **r1** folder contains legacy model implementations developed
using TensorFlow 1.x.

**Note: We will remove this r1 folder from the master branch in June, 2020.**

After removal, you will still be able to access legacy models
in the previous releases.
(e.g., [v2.1.0](https://github.com/tensorflow/models/releases/tag/v2.1.0))

| Model | Description | Reference |
| ----- | ----------- | --------- |
| [Gradient Boosted Trees](boosted_trees) | A gradient boosted trees model to classify higgs boson process from HIGGS dataset | [Link](https://en.wikipedia.org/wiki/Gradient_boosting) |
| [MNIST](mnist) | A basic model to classify digits from the MNIST dataset | [Link](http://yann.lecun.com/exdb/mnist/) |
| [NCF](ncf) | NCF Estimator implementation | [arXiv:1708.05031](https://arxiv.org/abs/1708.05031) |
| [ResNet](resnet) | A deep residual network for image recognition | [arXiv:1512.03385](https://arxiv.org/abs/1512.03385) |
| [Transformer](transformer) | A transformer model to translate the WMT English to German dataset | [arXiv:1706.03762](https://arxiv.org/abs/1706.03762) |
| [Wide & Deep Learning](wide_deep) | A model that combines a wide linear model and deep neural network for recommender systems | [arXiv:1606.07792](https://arxiv.org/abs/1606.07792) |
