https://github.com/lovesaroha/logistic-regression-and-or

In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image would be assigned a probability between 0 and 1, with a sum of one.
https://github.com/lovesaroha/logistic-regression-and-or

canvas html javascript logistic-regression regression

Last synced: 3 days ago
JSON representation

In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image would be assigned a probability between 0 and 1, with a sum of one.

• Host: GitHub
• URL: https://github.com/lovesaroha/logistic-regression-and-or
• Owner: lovesaroha
• License: gpl-3.0
• Created: 2021-09-08T18:06:08.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-01T10:56:37.000Z (about 3 years ago)
• Last Synced: 2024-01-26T05:14:18.077Z (10 months ago)
• Topics: canvas, html, javascript, logistic-regression, regression
• Language: CSS
• Homepage: https://ml.lovesaroha.com/Logistic-Regression-AND-OR
• Size: 52.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Logistic-Regression (AND OR Gates)

In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image would be assigned a probability between 0 and 1, with a sum of one.


Demo [lovesaroha/Logistic-Regression-AND-OR](https://ml.lovesaroha.com/Logistic-Regression-AND-OR)

![game](https://raw.githubusercontent.com/lovesaroha/gimages/main/15.png)