CPC G06N 3/08 (2013.01) [G06F 17/16 (2013.01)] | 19 Claims |
11. A method comprising:
traversing, by a processor, through an array of inputs of a plurality of input planes utilizing a read pointer to read a first set of inputs based on a second dimension of filters of a convolutional neural network (CNN), wherein the array of inputs is stored in a circular buffer in a non-transitory storage medium, and wherein a number of input planes is based on a first dimension of the filters of the CNN;
traversing, by the processor, through the array of inputs utilizing the read pointer to read a second set of inputs based on the second dimension of the filters of the CNN, the second set of inputs partially overlapping with the first set of inputs;
generating, by the processor, a portion of an output plane based on applying a first filter of the filters of the CNN to the first set of inputs and applying a second filter of the CNN to the second set of inputs; and
in response the processor determining that a new input plane is added to the circular buffer, incrementing, by the processor, an initial read address of the read pointer by a third dimension of the filters of the CNN.
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