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Collaborating Authors

 Jan Koehler

The streaming rollout of deep networks - towards fully model-parallel execution

Neural Information Processing Systems

Deep neural networks, and in particular recurrent networks, are promising candidates to control autonomous agents that interact in real-time with the physical world. However, this requires a seamless integration of temporal features into the network's architecture. For the training of and inference with recurrent neural networks, they are usually rolled out over time, and different rollouts exist.

The streaming rollout of deep networks - towards fully model-parallel execution

Neural Information Processing Systems

Neural Information Processing Systems http://nips.cc/