Using the MNIST database. It is a collection of 70000 handwritten digits split into training and test set of 60000 and 10000 images respectively.
The model is built using Multi Layer Perceptron (MLP).
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Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.
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