Keras Embedding Similarity
Compute the similarity between the outputs and the embeddings.
Install
pip install keras-embed-sim
Usage
from tensorflow 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])
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Metadata
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Release files for keras-embed-sim 0.10.0
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| File | Size | Uploaded | |
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Release files / keras-embed-sim-0.10.0.tar.gz
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