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2. Keras Preprocessing Layers: build end-to-end models that take as input raw strings or raw structured data samples. Handles string splitting, feature value indexing & encoding, image data augmentation, etc.https://keras.io/guides/preprocessing_layers/ …
3. KerasTuner: flexible and efficient hyperparameter tuning for Keras models.https://www.tensorflow.org/tutorials/keras/keras_tuner …
And in the pipeline: KerasCV and KerasNLP, domain-specific modeling packages.
Very nice, François!
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