Methods and apparatus to implement parallel architectures for neural network classifiers
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United States of America
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Mar 25, 2025
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Oct 14, 2021
app pub date -
Jun 25, 2021
filing date -
Jun 25, 2021
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Abstract
Methods, apparatus, systems, and articles of manufacture are disclosed to implement parallel architectures for neural network classifiers. An example non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least: process a first stream using first neural network blocks, the first stream based on an input image; process a second stream using second neural network blocks, the second stream based on the input image; fuse a result of the first neural network blocks and the second neural network blocks; perform average pooling on the fused result; process a fully connected layer based on the result of the average pooling; and classify the image based on the output of the fully connected layer.
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