MNIST

MNIST (Modified National Institute of Standards and Technology) is a popular dataset used for training and evaluating machine learning models for handwritten digit recognition. It consists of 60,000 training images and 10,000 test images of handwritten digits (0-9) collected from various sources. MNIST is commonly used as a benchmark dataset for testing classification algorithms, neural networks, and computer vision models in the machine learning community. Readers can explore MNIST dataset, preprocessing techniques, and model architectures for building accurate and efficient digit recognition systems, understanding its significance in machine learning research and education.