A TensorFlow digit classifier using Kaggle's MNIST dataset. The neural network has 128 neurons with dropout regularization, achieving ~97-98% accuracy in 5 epochs. Includes training visualization and model saving for testing on new images. Not deployed
sharr-catalyst/Digit-classifier
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