How to get word embeddings back from Keras?

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Say you create your own custom word embeddings in the process of some arbitrary task, say text classification. How do you get a dictionary like structure of {word: vector} back from Keras?

embeddings_layer.get_weights() gives you the raw embeddings...but it's unclear which word corresponds to what vector element.

word-embedding keras nlp python
1 Answers

This dictionary is not a part of keras model. It should be kept separately as a normal python dictionary. It should be in your code - you use it to convert text to integer indices (to feed them to Embedding layer).

user_55614720
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