https://github.com/lakshmankishore/digitrecognition

My first Neural network model inside a web application.
https://github.com/lakshmankishore/digitrecognition

html-css-javascript machine-learning mnist-handwriting-recognition neural-network tensorflowjs tfjs-converter uigradients

Last synced: 2 days ago
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My first Neural network model inside a web application.

• Host: GitHub
• URL: https://github.com/lakshmankishore/digitrecognition
• Owner: LakshmanKishore
• Created: 2021-06-27T14:05:21.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-27T14:29:14.000Z (over 3 years ago)
• Last Synced: 2023-08-26T18:39:58.814Z (about 1 year ago)
• Topics: html-css-javascript, machine-learning, mnist-handwriting-recognition, neural-network, tensorflowjs, tfjs-converter, uigradients
• Language: JavaScript
• Homepage:
• Size: 1.47 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Digit Recognition

* This is my first ML inside web application.

* I built the model using python.

* Converted the model using tensorflow js converter library.

* Bought the model folder into the web app and used the model.

* This was built for making me understand the Neural Network concept.

## You Can watch the code live [here](https://lakshman-digitRecognition.surge.sh)

# NOTE

* The Model does not provide 100% accuracy.

* It can work to some extent.