Backpropagation — ML Glossary documentation
Resource history | v1 (current) | created by janarez
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Backpropagation — ML Glossary documentation
see v1 | created by janarez | Add topic "Backpropagation"
- Title
- Backpropagation — ML Glossary documentation
- Type
- CheatSheet
- Created
- 2017
- Description
- The goals of backpropagation are straightforward: adjust each weight in the network in proportion to how much it contributes to overall error. If we iteratively reduce each weight’s error, eventually we’ll have a series of weights that produce good predictions.
- Link
- https://ml-cheatsheet.readthedocs.io/en/latest/backpropagation.html
- Identifier
- no value
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about Backpropagation
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