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How to Obtain and Run Light and Efficient Deep Learning Networks
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…
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Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
Reinforcement learning carries subtly different meanings in machine learning, cognitive science and neuroscience. In this talk, I will try to clarify in which ways the concepts overlap and in which ways they differ. I will…