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Digit-Classification

Classification of digits is performed from the given grey-scaled images taken from the famous MNIST dataset.

Libraries Used: pandas, numpy, matplot.lib, seaborn, kearas, tensorflow

On builing the model using One Convolution & Max Pooling Layer, we have achieved an accuracy of 98.457% on test data.

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Project to classify digits from famous MNIST dataset

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