Introduction to MNIST Dataset
Explore the MNIST dataset, a collection of handwritten digit images used to train and test digit recognition models. Learn how to import, inspect, normalize, and prepare the data for deep learning frameworks like Keras by converting images to input vectors and applying one-hot encoding for labels.
The MNIST dataset
MNIST (Modified National Institute of Standards and Technology) is a subset of a larger dataset available at the National Institute of Standards and Technology. The MNIST database contains handwritten digits (0 through 9) and provides a baseline for testing image processing systems. The model’s task is to learn the digits and classify the new digits as input.