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Handwritten Digit Classification using ANN | MNIST Dataset
Handwritten Digit Classification using Artificial Neural Networks (ANN) involves training a model to recognize and classify handwritten digits, typically from 0 to 9. The ANN learns patterns from labeled datasets, allowing it to generalize and accurately identify handwritten digits in unseen data. Digital Notes for Deep Learning: https ...
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