https://github.com/kaustubholpadkar/logistic_regression_with_tensorflow.js
Simulation of Logistic Regression algorithm using P5.JS and Tensorflow.js
https://github.com/kaustubholpadkar/logistic_regression_with_tensorflow.js
deep-learning javascript logistic-regression machine-learning p5js simulation tensorflow-js
Last synced: 3 months ago
JSON representation
Simulation of Logistic Regression algorithm using P5.JS and Tensorflow.js
- Host: GitHub
- URL: https://github.com/kaustubholpadkar/logistic_regression_with_tensorflow.js
- Owner: kaustubholpadkar
- License: gpl-3.0
- Created: 2018-05-24T15:40:01.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-05-24T15:43:45.000Z (about 7 years ago)
- Last Synced: 2025-02-09T12:32:05.134Z (4 months ago)
- Topics: deep-learning, javascript, logistic-regression, machine-learning, p5js, simulation, tensorflow-js
- Language: JavaScript
- Size: 1.18 MB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Logistic_Regression_with_Tensorflow.js
Simulation of Logistic Regression algorithm using P5.JS and Tensorflow.js
## Overview
I have created the simulation of Logistic Regression using P5.JS graphics library and Tensorflow.js Deep Learning library.
User can insert the data-points on canvas as well as change the class of the data-point at runtime and accordingly the binary classifier line would change its parameters.
Tensorflow.js is used for minimization of loss function.
**sketch.js** contains the core logic for the simulation.