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Abstract

The present application at least describes a method including a step of receiving, at a convolutional neural network (CNN), data over a network from a source. The CNN may include one or more blocks. Each block may include plural layers. The method may include a step of causing, via the CNN in a first layer of the first block, a representation of the received data as a first matrix having M rows and N columns. The M rows and N columns may be greater than or equal to 1. The method may also include a step of processing, via the CNN at the first layer of the first block, the first matrix via a predetermined kernel matrix. The kernel matrix may include M-X rows and N-Y columns. X and Y may be greater than or equal to 1. The method may also include a step of rendering, via the CNN based on the processed first matrix, a second matrix having M-2 rows and N-2 columns. The method may further include a step of causing, via the CNN in a second layer of the first block, a representation including a first buffer and the second matrix. The first buffer may include at least 2 columns of the first matrix. The method may include yet a further step of processing, via the CNN at the second layer of the first block, the second matrix via the predetermined kernel matrix. The method may include yet even a further step of rendering, via the CNN based on the processed second matrix, a third matrix having M-4 rows and N-4 columns.

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First Claim