Disentangled activations in deep networks

ICLR 2018 Mikael KågebäckOlof Mogren

Deep neural networks have been tremendously successful in a number of tasks. One of the main reasons for this is their capability to automatically learn representations of data in levels of abstraction, increasingly disentangling the data as the internal transformations are applied... (read more)

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