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_layers/ https://keras.io/api/layers/preprocessing_layers/text/text_vectorization/#textvectorization-class COLAB from KERAS: https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/nlp/ipynb/text_classification_from_scratch.ipynb https://colab.research.google.com/github/keras-team/keras-io/blob/master/guides/ipynb/preprocessing_layers.ipynb #AI #KERAS #TextVectorization