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CNNmulticlassification

Goal: To design, train and test a Convolutional Neural Network (CNN) for a multi-class classification problem. Dataset: We are going to use the MNIST handwritten digit database with additive correlated noise. The images and class labels are contained in the file 'MNIST_CorrNoise.npz'. Kera library is used.

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Design, train and test of a Convolutional Neural Network (CNN) for a multi-class classification problem.

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