@TensorFlow @rajatmonga tf.layers, tf.contrib.layers, tf.contrib.slim, tf.contrib.keras.layers ... When will this end? Which should I use?
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tf.layers is a subset of tf.keras.layers. They're interchangeable. Contrib will be split out of TF in the future. I suggest using tf.keras.
tf.keras is part of the core TF API; its role is to make TF more approachable and make power users more productive. While fully blending in
