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The Ethereal
Efficient Per-Example Gradient Computations
October 07, 2015 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Ian Goodfellow
arXiv ID
1510.01799
Category
stat.ML: Machine Learning (Stat)
Cross-listed
cs.LG
Citations
77
Venue
arXiv.org
Last Checked
6 months ago
Abstract
This technical report describes an efficient technique for computing the norm of the gradient of the loss function for a neural network with respect to its parameters. This gradient norm can be computed efficiently for every example.
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