GitHub / aishwaryahm3 / MNIST-Classification-using-ANN-and-CNN
Implemented ANN and CNN models for classifying handwritten digits from the MNIST dataset achieving 97.51% accuracy with ANN and 98.71% accuracy with CNN. Included data preprocessing, visualization, and performance comparison.
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Created at: 4 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: ann-classification, cnn-classification, convolutional-neural-networks, deep-learning, handwriting-recognition, mnist, mnist-classification