Difference between revisions of "Backpropagation"

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[http://www.youtube.com/results?search_query=backpropagation Youtube search...]
 
[http://www.youtube.com/results?search_query=backpropagation Youtube search...]
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[http://www.google.com/search?q=Backpropagation+deep+machine+learning+ML ...Google search]
  
 
* [[Gradient Descent Optimization & Challenges]]
 
* [[Gradient Descent Optimization & Challenges]]
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* [[Objective vs. Cost vs. Loss vs. Error Function]]
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* [http://en.wikipedia.org/wiki/Backpropagation Wikipedia]
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* [http://neuralnetworksanddeeplearning.com/chap2.html How the backpropagation algorithm works]
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* [http://hmkcode.github.io/ai/backpropagation-step-by-step/ Backpropagation Step by Step]
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* [http://www.unite.ai/what-is-backpropagation/ What is Backpropagation? | Daniel Nelson - Unite.ai]
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* [[Other Challenges]] in Artificial Intelligence
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* [http://pathmind.com/wiki/backpropagation A Beginner's Guide to Backpropagation in Neural Networks | Chris Nicholson - A.I. Wiki pathmind]
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[http://developers.google.com/machine-learning/glossary/ The primary algorithm for performing gradient descent on neural networks. First, the output values of each node are calculated (and cached) in a forward pass. Then, the partial derivative of the error with respect to each parameter is calculated in a backward pass through the graph. Machine Learning Glossary | Google]
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http://hmkcode.github.io/images/ai/backpropagation.png
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Revision as of 16:29, 26 April 2020