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Softmax annotated: Difference between revisions

From Algolit

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| Type: || Algolit extension
 
| Type: || Algolit extension
 
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| Technique: || softmax function
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| Technique(s): || mathematics, softmax function, python
 
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| Developed by: || Algolit
 
| Developed by: || Algolit

Revision as of 14:26, 25 October 2017

Type: Algolit extension
Technique(s): mathematics, softmax function, python
Developed by: Algolit

Softmax annotated is a annotated script of a softmax function written in python. The basis of the code is found at the Softmax function page on the English Wikipedia. This script was part of proces to get a better understanding of the mathematics behind neural networks. The softmax function is often used as the last node in a neural network, to normalize a list of input values.