A production-grade handwritten digit recognition system built from scratch using deep neural networks. Trains on the MNIST dataset (28×28 pixel images) and achieves up to 99.6% test accuracy using a ...
To run the program, simply open your terminal or command prompt and navigate to the directory where you have downloaded the digit-clock.py file. Once you're in the correct directory, run the following ...
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