Metadata-Version: 2.1
Name: keras-embed-sim
Version: 0.9.0
Summary: Calculate similarity with embedding
Home-page: https://github.com/CyberZHG/keras-embed-sim
Author: CyberZHG
Author-email: CyberZHG@users.noreply.github.com
License: MIT
Description: # Keras Embedding Similarity
        
        [![Travis](https://travis-ci.org/CyberZHG/keras-embed-sim.svg)](https://travis-ci.org/CyberZHG/keras-embed-sim)
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        ![](https://img.shields.io/badge/keras-tensorflow-blue.svg)
        ![](https://img.shields.io/badge/keras-tf.keras-blue.svg)
        
        \[[中文](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.md)\]
        
        Compute the similarity between the outputs and the embeddings.
        
        ## Install
        
        ```bash
        pip install keras-embed-sim
        ```
        
        ## Usage
        
        ```python
        import keras
        from keras_embed_sim import EmbeddingRet, EmbeddingSim
        
        input_layer = keras.layers.Input(shape=(None,), name='Input')
        
        embed, embed_weights = EmbeddingRet(
            input_dim=20,
            output_dim=100,
            mask_zero=True,
        )(input_layer)
        
        output_layer = EmbeddingSim()([embed, embed_weights])
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
