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.
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PURL: pkg:github/Hasnat-Aarif-Aslam/Hand-Written-Digit-Classification-MNIST-Multi-Class-Classification
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Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 82 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: handwritten-digit-recognition, keras, mnist, multiclass-image-classification, tensorflow