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by visarga
3522 days ago
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Then why are we using deep convolutional networks for state of the art vision and speech when we could just plug an SVM with handcrafted features? From what I know, error rates in vision dropped from 25% to less than 5% since deep learning. That's no trifle, especially at the higher end of the accuracy scale. It's very hard to conquer those last few percents. |
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