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Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
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Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
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Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays - IOS Press
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Proposed robust HD MANN architecture The learning phase of the proposed... | Download Scientific Diagram
![Has anyone came across this? apparently, using a Sharpened Cosine Similarity Layer (a new alternative of ConvNets) achieves an accuracy of +99% on MNIST with just 1,398 parameters (10x - 100x less Has anyone came across this? apparently, using a Sharpened Cosine Similarity Layer (a new alternative of ConvNets) achieves an accuracy of +99% on MNIST with just 1,398 parameters (10x - 100x less](https://preview.redd.it/rwk1obfg02f81.png?auto=webp&s=bd01b045b0914f916bf5ae8f5784035c30577ff6)
Has anyone came across this? apparently, using a Sharpened Cosine Similarity Layer (a new alternative of ConvNets) achieves an accuracy of +99% on MNIST with just 1,398 parameters (10x - 100x less
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