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README.md

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 # AdaNet
 
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 **AdaNet** is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models.
 
 This project is based on the _AdaNet algorithm_, presented in “[AdaNet: Adaptive Structural Learning of Artificial Neural Networks](http://proceedings.mlr.press/v70/cortes17a.html)” at [ICML 2017](https://icml.cc/Conferences/2017), for learning the structure of a neural network as an ensemble of subnetworks.