Transformer and MNIST implementation uses pure TF 1.x TF-Estimator.
| [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) |
Users should follow the corresponding TF 2.x implmentation inside the
| [MNIST](mnist) | A basic model to classify digits from the MNIST dataset | [Link](http://yann.lecun.com/exdb/mnist/) |
official model garden.
| [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) |
## Models that will not update to TensorFlow 2.x
| [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) |
*[boosted_trees](boosted_trees): A Gradient Boosted Trees model to
classify higgs boson process from HIGGS Data Set.
*[wide_deep](wide_deep): A model that combines a wide model and deep
