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Handwritten Digit Recognition using Artificial Neural Networks (ANN) involves training a multi-class classification model to recognize and classify handwritten digits. The model is trained on a dataset of labeled images of handwritten digits, where each image is labeled with its corresponding digit.
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Handwritten Digit Recognition using Artificial Neural Networks (ANN) involves training a multi-class classification model to recognize and classify handwritten digits. The model is trained on a dataset of labeled images of handwritten digits, where each image is labeled with its corresponding digit.