CONVOLUTIONAL NEURAL NETWORK-BASED DATA PROCESSING METHOD AND DEVICE

摘要

Provided are a data processing method and device based on a convolutional neural network. For any convolutional layer in a convolutional neural network, calculation is performed by a convolution kernel of the convolutional layer, on elements of data inputted to the convolutional layer one by one so as to obtain convoluted values of the respective elements. Each calculation obtains a convoluted value, and this convoluted value and convoluted values of elements in the same region obtained by calculation through the same convolution kernel are added together to obtain an output element of the convolution kernel corresponding to the region. In this way, an output of a convolutional layer can be obtained after all convoluted values have been calculated without having to read convoluted values from a storage apparatus, thus enhancing data processing efficiency.