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Understanding how to use Keras API to classify handwritten digit classification using the MNIST dataset.

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Handwritten-Digit-Classification-using-Keras-Tensorflow

Understanding how to use Keras API to classify handwritten digit classification using the MNIST dataset. The model is a Sequential model with a Flatten layer and Dense layers. The optimizer used is adam optimizer. The loss function selected is sparse_categorical_crossentropy, with metrics=accuracy. The model is performing with around 97% accuracy.

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Understanding how to use Keras API to classify handwritten digit classification using the MNIST dataset.

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