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Digit classification with Convolutional Neural Networks using Keras

Home Page: https://digit-identify.herokuapp.com/

License: MIT License

Python 43.29% JavaScript 24.65% CSS 18.96% HTML 13.10%

digit-identify's Introduction

Handwritten-Digit-Classifier

Deploy license dep1 dep2 dep3

Objective Goal

Idenity Handwritten Digits with Convolutional Neural Network using Flask and deploy the app on Heroku.

Description

The Model uses Convolutional layers for predicting class labels of the image passed.

Dependencies

The required dependencies are mentioned in requirement.txt, conda-requirements.txt and runetime.txt.

Deploy the application

Using GitHub

  1. Fork this repo

    Click on the button to make a copy of this repo in your own account.

  2. Clone your repo

     git clone https://github.com/<your-name>/digit-identify.git
    
  3. Log into your Heroku account with CLI.

  4. Push your changes in GitHub

$ git add .
$ git commit -m "Add your commit name"
$ git push origin master
  1. Refresh your Browser and see your updated site

Using Heroku Manual Setup

  1. Setup The App
  • Create a free Heroku Account(Online)
  • Python version >= 2.7 installed locally
  • For Linux:
$ heroku login
Enter your Heroku credentials.
Email: [email protected]
Password:
  • For Windows:
    • Download Heroku CLI
    • Once Installed use heroku command on your command shell (cmd)
  1. Prepare the app
$ git clone https://github.com/heroku/python-getting-started.git
$ cd python-getting-started
  1. Deploy the app
$ heroku create
Creating lit-bastion-5032 in organization heroku... done, stack is cedar-14
http://lit-bastion-5032.herokuapp.com/ | https://git.heroku.com/lit-bastion-5032.git
Git remote heroku added

$git push heroku master
Counting objects: 232, done.
Delta compression using up to 4 threads.
Compressing objects: 100% (217/217), done.
Writing objects: 100% (232/232), 29.64 KiB | 0 bytes/s, done.
Total 232 (delta 118), reused 0 (delta 0)
remote: Compressing source files... done.
remote: Building source:
remote:
remote: -----> Python app detected
remote: -----> Installing python-3.6.0
remote: -----> Installing requirements with latest pipenv...
remote:        Installing dependencies from Pipfile.lock...
remote:      $ python manage.py collectstatic --noinput
remote:        58 static files copied to '/app/gettingstarted/staticfiles', 58 post-processed.
remote:
remote: -----> Discovering process types
remote:        Procfile declares types -> web
remote:
remote: -----> Compressing...
remote:        Done: 39.3M
remote: -----> Launching...
remote:        Released v4
remote:        http://lit-bastion-5032.herokuapp.com/ deployed to Heroku
remote:
remote: Verifying deploy... done.
To [email protected]:lit-bastion-5032.git
 * [new branch]      master -> master

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