How to Obtain and Run Light and Efficient Deep Learning Networks - Microsoft Research

How to Obtain and Run Light and Efficient Deep Learning Networks - Microsoft Research

Fast growth of the computation cost associated with training and testing of deep neural networks (DNNs) inspired various acceleration techniques. Reducing topological complexity and simplifying data representation of neural networks are two approaches that popularly adopted in deep learning society: many connections in DNNs can be pruned and the precision of synaptic weights can be …

Keywords: deep learning
Date: 2019/07/10 11:15

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