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handwritten-digit-recognition's Introduction

Handwritten-digit-recognition

  1. Deep learning :- deep learning is used in this project for image processing. convolutional neural network (CNN) model is used for image processing and image detection. I have used convolution, pooling, flattening and dense layers in my neural network. jupyter notebook is used for coding.
  2. Opencv :- opencv is open source library for solving real-time computer vision problems, In this project i used opencv for working on realtime image. I used vscode for coding.
  • app.py :- It is a python file , this file contain code with opencv library.
  • Digit_recognization.ipynb :- It is a jupyter notebook file, this contain machine learning model code for image processing and image detection with cnn model.
  • dataset :- This is an zip folder containing test and training data used for building deep learning model.
  • model.h5 :- This is an saved deep learning model created through machine learning code.

handwritten-digit-recognition's People

Contributors

suyashmorale avatar

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