An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks

ICML 2018 Qianxiao LiShuji Hao

Deep learning is formulated as a discrete-time optimal control problem. This allows one to characterize necessary conditions for optimality and develop training algorithms that do not rely on gradients with respect to the trainable parameters... (read more)

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