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Deep Learning - Handwritten Digit Recognition Using Python REVIEW 0 PDF

16 Pages·2021·English
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by ['Sheethal']| 2021| 16 pages| English

About Deep Learning - Handwritten Digit Recognition Using Python REVIEW 0

This document summarizes a deep learning project to perform handwritten digit recognition using the MNIST dataset and a convolutional neural network. The MNIST dataset contains images of handwritten digits that are used to train the CNN model. Feature extraction techniques are applied to preprocess the images by inverting them, finding contours, and selecting the largest bounding rectangle to extract 784 pixel features. The trained CNN model can then recognize handwritten digits with 98.46% accuracy.

Detailed Information

Author:['Sheethal']
Publication Year:2021
Pages:16
Language:English
Format:PDF
Price:FREE
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