Softmax annotated: Difference between revisions
From Algolit
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| Type: || Algolit extension | | Type: || Algolit extension | ||
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− | | Technique: || softmax function | + | | 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.