Method and apparatus for reducing computational complexity of convolutional neural networks
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United States of America
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Mar 11, 2025
Grant Date -
Dec 30, 2021
app pub date -
Sep 13, 2021
filing date -
Sep 13, 2021
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
A convolutional neural network (CNN) system for generating a classification for an input image is presented. The CNN system comprises circuitry running on clock cycles and configured to compute a product of two received values, and at least one non-transitory computer-readable medium that stores instructions for the circuitry to derive a feature map based on at least the input image; puncture at least one selection among the feature map and a kernel by setting the value of an element at an index of the at least one selection to zero and cyclic shifting a puncture pattern to achieve a 1/d reduction in number of clock cycles, where d is an integer and puncture interval value >1. The feature map is convolved with the kernel to generate an output, and a classification of the input image is generated based on the output.
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International Classification(s)
- 2021 Application Filing Year
- G06N Class
- 16935 Applications Filed
- 6768 Patents Issued To-Date
- 39.97 % Issued To-Date
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- G06N Class
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