Direct Feedback Alignment with Sparse Connections for Local Learning

30 Jan 2019Brian CraftonAbhinav PariharEvan GebhardtArijit Raychowdhury

Recent advances in deep neural networks (DNNs) owe their success to training algorithms that use backpropagation and gradient-descent. Backpropagation, while highly effective on von Neumann architectures, becomes inefficient when scaling to large networks... (read more)

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