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handwritten-digit-recognition's Introduction

Handwritten-Digit-Recognition

Convolutional Neural Network trained on 60000 images of handwritten digits

Installation setup

  • install the following libraries for training purposes

    • numpy
    • keras
    • matplotlib
    • sklearn
  • install the following libraries for testing the model

    • tkinter
    • keras
    • CV2
    • numpy
    • PIL
  • Open handwritten_digits1.ipynb in Jupyter notebook or Google colab

  • execute all the cells consecutively to train the model

  • model will be saved at the end with name 'digitdemo1.h5'

  • run scatchboard.py to test the model by drawing some digits on canvas

handwritten-digit-recognition's People

Contributors

yashpaneliya avatar

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Forkers

shubham-2007

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