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Classification of hand written digits using convolutional neural networks.

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Convolutional Networks MNIST.

Classification of handwritten digits using convolutional neural networks.

This project shows how to use Keras to classify images of handwritten digits. The network achieves 99.44% accuracy on the test set. The code is in the notebook called deepConvNet.ipynb. Also, you can see the notebook in colab following this link

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