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CONVOLUTION NEURAL NETWORK, METHOD AND DEVICE FOR OPTIMIZING OPERATION OF CONVOLUTION NERUAL NETWORK, ELECTRONIC DEVICE USING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
CONVOLUTION NEURAL NETWORK, METHOD AND DEVICE FOR OPTIMIZING OPERATION OF CONVOLUTION NERUAL NETWORK, ELECTRONIC DEVICE USING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
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机译:卷积神经网络,用于优化卷积神经网络操作的方法和设备,使用该方法的电子设备,以及非瞬态存储介质
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摘要
A method for optimizing operation of convolution neural network outputs an input matrix of an input image. The method further slides on the input matrix according to preset convolution kernels to perform dot products to output first output matrixes on a convolution computing layer. Nonlinear mapping of the first output matrixes is performed according to a preset activation functions on an activation layer to output a second output matrixes. The method does not perform bias operations on the convolution computing layer. The results of the dot products performed on the convolution computing layer are output to the activation layer and bias operations are performed on the activation layer. The method reduces amount of calculation whilst not reducing accuracy of processing. An electronic device, a convolution neural network, and a non-transitory storage medium are also disclosed.
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