This project uses Deep Learning with TensorFlow and Keras to classify handwritten digits from the MNIST dataset. The model takes 28×28 grayscale handwritten digit images as input and predicts one of ...
The MNIST database (Modified National Institute of Standards and Technology database) of handwritten digits consists of a training set of 60,000 examples, and a test set of 10,000 examples. It is a ...
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