word embeddings
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Using the Embedding layer¶ Keras makes it easy to use word embeddings. Take a look at the Embedding layer. The Embedding layer can be understood as a lookup table that maps from integer indices (which stand for specific words) to dense vectors (their embeddings). The dimensionality (or width) of the embedding is a parameter you can experiment with to see what works well for your problem, much in the same way you would experiment with the number of neurons in a Dense layer.
Tasks: Natural Language Processing
Task Categories: Natural Language Processing, Deep Learning Fundamentals
Published: 10/10/23
Tags
keras
embedding
tensorflow
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