Convolutional neural network

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United States of America Patent

PATENT NO 9665799
SERIAL NO

15010418

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Abstract

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A convolutional neural network (CNN) for an image processing system comprises an image cache responsive to a request to read a block of N×M pixels extending from a specified location within an input map to provide a block of N×M pixels at an output port. A convolution engine reads blocks of pixels from the output port, combines blocks of pixels with a corresponding set of weights to provide a product, and subjects the product to an activation function to provide an output pixel value. The image cache comprises a plurality of interleaved memories capable of simultaneously providing the N×M pixels at the output port in a single clock cycle. A controller provides a set of weights to the convolution engine before processing an input map, causes the convolution engine to scan across the input map by incrementing a specified location for successive blocks of pixels and generates an output map within the image cache by writing output pixel values to successive locations within the image cache.

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Patent Owner(s)

Patent OwnerAddress
FOTONATION LIMITEDCLIONA BUILDING ONE PARKMORE EAST BUSINESS PARK BALLYBRIT GALWAY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Caliman, Alexandru Brasov, RO 5 39
Munteanu, Mihai Constantine Brasov, RO 3 49
Zaharia, Corneliu Brasov, RO 23 178

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