Keras 2.0.6

Areas of improvement

• Improve generator methods (predict_generator, fit_generator, evaluate_generator) and add data enqueuing utilities.
• Bug fixes and performance improvements.
• New features: new Conv3DTranspose layer, new MobileNet application, self-normalizing networks.

API changes

• Self-normalizing networks: add selu activation function, AlphaDropout layer, lecun_normal initializer.
• Data enqueuing: add Sequence, SequenceEnqueuer, GeneratorEnqueuer to utils.
• Generator methods: rename arguments pickle_safe (replaced with use_multiprocessing) and max_q_size (replaced with max_queue_size).
• Add MobileNet to the applications module.
• Add Conv3DTranspose layer.
• Allow custom print functions for model's summary method (argument print_fn).