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What is Handwritten Digit Classification with CNN about?

This document summarizes a student project on classifying handwritten digits using the MNIST dataset and convolutional neural networks. The goal was to take an image of a handwritten single digit and determine what it is. The project used a CNN model which consists of convolutional layers to extract features, pooling layers to reduce dimensionality, and fully connected layers for classification. The MNIST dataset containing images of handwritten digits was used to train and test the CNN model for digit clas

Author

Monica Cocut

Language

EN