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On orthogonality and learning RNNs with long term dependencies

ICML 2017 • Eugene Vorontsov • Chiheb Trabelsi • Samuel Kadoury • Chris Pal

It is well known that it is challenging to train deep neural networks and recurrent neural networks for tasks that exhibit long term dependencies. The vanishing or exploding gradient problem is a well known issue associated with these challenges... (read more)

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