DEEP CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE AND SYSTEM AND METHOD FOR BUILDING THE DEEP CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE

摘要

An artificial convolutional neural network is described. The network includes a plurality of pooled convolutional layers connected sequentially, each pooled convolutional layer taking an input and generating an output, each pooled convolutional layer includes: at least one convolutional layer to apply to the input at least one convolutional operation using an activation function; and a pooling layer to apply a pooling operation to the at least one convolutional layer to generate the output; a plurality of global average pooling layers each linked to the output of a respective one of the plurality of pooled convolutional layers, each global average pooling layer to apply a global average pooling operation to the output of the respective pooled convolutional layer; a terminal hidden layer to combine the outputs of the global average pooling layers; and a softmax layer to apply a softmax operation to the output of the terminal hidden layer.