Patent ID: 11907844
Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 4:
5. The processing device of claim 1, wherein the neural network includes a fully connected layer, a convolutional layer, and/or a LSTM layer; a weight of the fully connected layer is a two-dimensional matrix (Nin, Nout), where Nin represents a count of input neurons and Nout represents a count of output neurons, and the fully connected layer has Nin*Nout weights; a weight of the convolutional layer is a four-dimensional matrix (Nfin, Nfout, Kx, Ky), where Nfin represents a count of input feature maps, Nfout represents a count of output feature maps, (Kx, Ky) is a size of a convolution kernel, and the convolutional layer has Nfin*Nfout*Kx*Ky weights; a weight of LSTM layer is composed of m weights of the fully connected layer, where m is a positive integer greater than 0, and an ith weight of the fully connected layer is (Nin_i, Nout_i), where i is a positive integer greater than 0 and less than or equal to m, Nin_i represents a count of input neurons of the ith weight of the fully connected layer and Nout_i represents a count of output neurons of the ith weight of the fully connected layer.