Softmax annotated: Difference between revisions
From Algolit
(Created page with "{| |- | Type: || Algolit extension |- | Datasets: || none |- | Technique: || softmax function |- | Developed by: || Algolit |} '''''Softmax annotated''''' is a annotated scri...") |
|||
| Line 2: | Line 2: | ||
|- | |- | ||
| Type: || Algolit extension | | Type: || Algolit extension | ||
| − | |||
| − | |||
|- | |- | ||
| Technique: || softmax function | | Technique: || softmax function | ||
Revision as of 14:25, 25 October 2017
| Type: | Algolit extension |
| Technique: | softmax function |
| 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.