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Replace SequentialLayer with Sequential Model

Merged Amir MOHAMMADI requested to merge inception-resenet-change into master

The SequentialLayer was introducing more problems than the ones it solved.

Unfortunately, the old checkpoints will not be compatible but they can be easily converted using:

old_model = tf.keras.models.load_model(".../old_checkpoint")
new_model = bob.learn.tensorflow.models.incepetion_resenet_v2.IncepetionResnetV2()
new_model.set_weights(old_model.get_weights)
new_model.save(".../new_checkpoint")

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