https://github.com/saadmairaj/digit-recognition

This is a Machine Learning Model based on the Keras algorithm that can Recognise Hand-Written digits from this model and can also Train more.
https://github.com/saadmairaj/digit-recognition

digit-recognition-application keras-tensorflow machine-learning python tensorflow tensorflow-examples tkinter-gui

Last synced: 11 days ago
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This is a Machine Learning Model based on the Keras algorithm that can Recognise Hand-Written digits from this model and can also Train more.

• Host: GitHub
• URL: https://github.com/saadmairaj/digit-recognition
• Owner: Saadmairaj
• License: apache-2.0
• Created: 2020-07-01T09:27:48.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-02T13:41:58.000Z (over 4 years ago)
• Last Synced: 2024-10-17T13:14:37.497Z (28 days ago)
• Topics: digit-recognition-application, keras-tensorflow, machine-learning, python, tensorflow, tensorflow-examples, tkinter-gui
• Language: Python
• Homepage:
• Size: 17.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Digit Recognition

This was my first machine learning project that predicts hand written digits using tensorflow mnist dataset. The app is developed using the Tkinter library as frontend and tensorflow as backend. The model can be trained more with new date by drawing digits on the canvas and checking the train option.





## How do I use?

- *Draw the digit on the canvas of Tkinter.*

- *Press ENTER / RETURN key to predict.*

- *Press SHIFT + ENTER / SHIFT + RETURN key or the Right Mouse Click to clear the canvas.*

## Contributing

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method of this repository before making a change.

Please make sure to update tests as appropriate.