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Paper overview | Do Deep Nets Really Need to be Deep?

Year 2014 passed under the huge Deep Learning sign. At the last seminar of computational neuroscience I’ve presented a very recent article, which looks into the question of whether deepness in a requirements for approximating a function, or, under the right condition, shallow nets are capable of performing equally well?

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I have worked on various projects in machine learning and computer science, neuroscience and brain-computer interfaces, reinforcement learning and robotics. Currently I am focusing on two things: leading machine learning team at OffWorld Inc. to train robots for space exploration, and finishing my PhD in neuroscience and artificial intelligence at University of Tartu.

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