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nla-group.org
| | blog.autarkaw.com
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| | nhigham.com
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| | Backward error is a measure of error associated with an approximate solution to a problem. Whereas the forward error is the distance between the approximate and true solutions, the backward error is how much the data must be perturbed to produce the approximate solution. For a function $latex f$ from $latex \mathbb{R}^n$ to $latex \mathbb{R}^n$
| | www.karlrupp.net
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| | colah.github.io
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| [AI summary] This article explains the structure, functionality, and significance of convolutional neural networks (CNNs) in pattern recognition and computer vision, highlighting their applications and breakthroughs.