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MNIST Digit Classification Model by Rahul Dey is a document available to read on EtoBox.

What is MNIST Digit Classification Model about?

The document outlines a TensorFlow and Keras implementation for training a neural network on the MNIST dataset, which consists of handwritten digits. It includes data loading, preprocessing, model creation, training, evaluation, and visualization of results. The model achieves an accuracy of approximately 92.55% on the test dataset after five epochs.

Author

Rahul Dey

Language

EN