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Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling
Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling
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机译:通过隐式预处理和采样来加速深度神经网络的无粗麻布优化的系统和方法
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摘要
A method for training a deep neural network, comprises receiving and formatting speech data for the training, preconditioning a system of equations to be used for analyzing the speech data in connection with the training by using a non-fixed point quasi-Newton preconditioning scheme, and employing flexible Krylov subspace solvers in response to variations in the preconditioning scheme for different iterations of the training.
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