Text Vectorization Made Easy: A Tutorial on KERAS Preprocessing Layers for AI
Text Vectorization layer: a preprocessing layer which maps TEXT features to numerical sequences. KERAS preprocessing layer API allows to build Keras-native INPUT PROCESSING PIPELINES.
This layer has basic options for managing text in a Keras model. It transforms a batch of strings (one example = one string) into either a list of token indices (one example = 1D tensor of integer token indices) or a dense representation (one example = 1D tensor of float values representing data about the example's tokens). This layer is meant to handle natural language inputs.
ALL Credits to KERAS:
https://keras.io/guides/preprocessing...
https://keras.io/api/layers/preproces...
COLAB from KERAS:
https://colab.research.google.com/git...
https://colab.research.google.com/git...
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