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GitHub / Hasnat-Aarif-Aslam / Hand-Written-Digit-Classification-MNIST-Multi-Class-Classification

This repository demonstrates a TensorFlow/Keras model for classifying MNIST handwritten digits. It covers data loading, normalization, model creation, training with early stopping, and evaluation. Includes visualizations of loss and accuracy over epochs and explains image shape considerations for predictions.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hasnat-Aarif-Aslam%2FHand-Written-Digit-Classification-MNIST-Multi-Class-Classification

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 82 KB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: handwritten-digit-recognition, keras, mnist, multiclass-image-classification, tensorflow

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