11 datasets found

The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784.

The MNIST dataset is a large dataset of handwritten digits, and the OMNIGLOT dataset is a large dataset of handwritten characters.

The F-MNIST dataset is a dataset of handwritten digits.

The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images.

The EMNIST dataset contains 372,450 samples of the 26 letters A-Z (labels), each represented in a 28 × 28 dimension.

MNIST-ADD dataset is a dataset of handwritten digits with added noise.

The infiMNIST dataset is a large collection of images of handwritten digits with infinite transformations.

The AffNIST dataset is a large collection of images of handwritten digits with affine transformations.

The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.

The MNIST database of handwritten digits is a popular benchmark data set for classification algorithms.

The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...