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README.md

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[![license](https://img.shields.io/badge/License-Apache_2.0-brightgreen.svg)](https://github.com/philipperemy/keras-attention-mechanism/blob/master/LICENSE) [![dep1](https://img.shields.io/badge/Tensorflow-2.0+-brightgreen.svg)](https://www.tensorflow.org/)
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![Simple Keras Attention CI](https://github.com/philipperemy/keras-attention-mechanism/workflows/Simple%20Keras%20Attention%20CI/badge.svg)
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Many-to-one attention mechanism for Keras.
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Attention Layer for Keras. Supports the score functions of Luong and Bahdanau.
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<p align="center">
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<img src="examples/equations.png" width="600">
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### Arguments
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- `units`: Integer. The number of units in the attention vector ($a_t$).
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- `units`: Integer. The number of (output) units in the attention vector ($a_t$).
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- `score`: String. The score function $score(h_t, \bar{h_s})$. Possible values are `luong` or `bahdanau`.
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