Categorical preprocessing layers are a new feature in Keras (available in tf-nightly & TF 2.3). They enable you to do string/int feature encoding directly as part of your model -- one-hot, multi-hot, indexing, hashing, etc. Check out this simple example:https://keras.io/examples/structured_data/structured_data_classification_from_scratch/ …
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Great, is there some example for preprocessing the target variable?
You could: - Map your preprocessing layer in your http://tf.data pipeline to process the targets - or use the EndpointLayer pattern and make target preprocessing part of the model itself (https://keras.io/examples/keras_recipes/endpoint_layer_pattern/ …)
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It is exactly what I needed, thank you
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