In this project ,I took handwritten images of the number 0-9 from the MNIST dataset , built a CNN model , and trained it to predict the correct label for the digit in the image. The MNIST dataset is a dataset of 28×28 grayscale images of handwritten digits between 0 and 9. There are 60,000 examples in the training dataset and 10,000 examples in the test dataset.
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Boozor/Handwritten-Digit-Classification-Model
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