https://github.com/lovesaroha/softmax-regression

The softmax function  or normalized exponential function  is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.
https://github.com/lovesaroha/softmax-regression

javascript machine-learning softmax-regression tensorflow training

Last synced: 4 months ago
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The softmax function  or normalized exponential function  is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.

• Host: GitHub
• URL: https://github.com/lovesaroha/softmax-regression
• Owner: lovesaroha
• License: gpl-3.0
• Created: 2021-09-24T17:46:32.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-01T10:55:41.000Z (over 3 years ago)
• Last Synced: 2025-01-12T19:23:26.087Z (6 months ago)
• Topics: javascript, machine-learning, softmax-regression, tensorflow, training
• Language: CSS
• Homepage: https://ml.lovesaroha.com/Softmax-Regression
• Size: 293 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Softmax-Regression (Dog Breed)

The softmax function  or normalized exponential function  is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.


Demo [lovesaroha/Softmax-Regression](https://ml.lovesaroha.com/Softmax-Regression)

![game](https://raw.githubusercontent.com/lovesaroha/gimages/main/68.png)

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![game](https://raw.githubusercontent.com/lovesaroha/gimages/main/69.png)