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MNIST dataset for handwritten digits
The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784. -
MNIST and OMNIGLOT datasets
The MNIST dataset is a large dataset of handwritten digits, and the OMNIGLOT dataset is a large dataset of handwritten characters. -
MNIST database of handwritten digits
The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images. -
EMNIST dataset
The EMNIST dataset contains 372,450 samples of the 26 letters A-Z (labels), each represented in a 28 × 28 dimension. -
infiMNIST Dataset
The infiMNIST dataset is a large collection of images of handwritten digits with infinite transformations. -
AffNIST Dataset
The AffNIST dataset is a large collection of images of handwritten digits with affine transformations. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
MNIST Database
The MNIST database of handwritten digits is a popular benchmark data set for classification algorithms. -
MNIST Dataset
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...
