Yoel Zeldes • 6/18/2018

Deep Learning: Theory & Practice

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A summary of key talks from a deep learning conference, focusing on how optimization algorithms like SGD introduce inductive bias affecting model generalization, and exploring methods for efficient human-in-the-loop learning in reinforcement learning settings.

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#Machine Learning #optimization #Neural Networks
Deep Learning: Theory & Practice

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