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  1. MNIST database - Wikipedia

    Fashion MNIST was created in 2017 as a more challenging alternative for MNIST. The dataset consists of 70,000 28x28 grayscale images of fashion products from 10 categories.

  2. The MNIST database of handwritten digits is one of the most …

    This page intends to provide a mirror site for downloading MNIST database hosted on http://yann.lecun.com/exdb/mnist/. Please visit the original site for more details of dataset.

  3. mnist | TensorFlow Datasets

    Jun 1, 2024 · The MNIST database of handwritten digits. Additional Documentation: Explore on Papers With Code north_east Homepage: http://yann.lecun.com/exdb/mnist/ Source code: …

  4. MNIST database of handwritten digits - Azure Open Datasets

    Oct 28, 2025 · Learn how to use the MNIST database of handwritten digits dataset in Azure Open Datasets.

  5. MNIST Dataset : Practical Applications Using Keras and PyTorch

    Jul 23, 2025 · The MNIST dataset is a popular dataset used for training and testing in the field of machine learning for handwritten digit recognition. The article aims to explore the MNIST …

  6. MNIST - Machine Learning Datasets

    The MNIST dataset (Modified National Institute of Standards and Technology database) is one of the most popular datasets in machine learning. MNIST is a dataset of 60,000 square 28×28 …

  7. The MNIST database | Pathmind

    MNIST is a database. The acronym stands for “Modified National Institute of Standards and Technology.” The MNIST database contains handwritten digits (0 through 9), and can provide …

  8. MNIST Dataset - Apache SystemDS

    The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST.

  9. MNIST by fsix

    This guide is written for coders just beginning with MNIST; MNIST is a dataset of handwritten digits published in the 1990s, MNIST is perhaps one of the most iconic exercises for beginning …

  10. www.mnist.org

    We're starting with a simple dataset that everyone should be familiar with: MNIST, and we'll be testing everything we can think of, and posting the results here.