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ENTITY An optimal control approach for neural network architecture adaptation with a posteriori error estimation

An optimal control approach for neural network architecture adaptation with a posteriori error estimation

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  1. RESEARCH · CL_133185 ·

    New optimal control method adapts neural network depth with error estimation

    Researchers have developed a novel method for adapting neural network architectures by treating training as a continuous-time optimal control problem. This approach uses a posteriori error estimation to identify layers …