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SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge |...
We provide an efficient implementation of the backpropagation algorithm, specialized to the case where the weights of the neural network being trained are...
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Mapping and Prediction of Community Health Level in The East Java Region Using ANN Backpropagation...
Predicting the level of public health in an area is very important to know the development of public health in order to give consideration to local governments...
https://mdooai.com/en/learn/gradient
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Gradient. Tells which direction to move parameters to reduce loss.
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https://www.sabinasz.net/deep-learning-from-scratch-iv-gradient-descent-and-backpropagation/
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Nov 18, 2017 - This is part 4 of a series of tutorials, in [...]
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Dependable flow modeling in upper basin Citarum using multilayer perceptron backpropagation |...
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GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
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https://www.datacamp.com/pl/tutorial/mastering-backpropagation
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on theneural networksresultsbackpropagationpublications
https://arxiv.org/abs/1401.4082
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https://www.mkarch.info/architecture/backpropagation-museum
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backpropagationmuseum
https://eprints.unisbank.ac.id/id/eprint/1600/
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https://c2s.telecom-paristech.fr/ProjectsInternships/Germain/projects/BackProp-Through-Time.html
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blogbackpropagation
https://eprints.ncl.ac.uk/289561
Backpropagation neural tree - ePrints - Newcastle University
backpropagationneuraltreeeprintsnewcastle
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in the brainbackpropagationsupermemoguru
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