11 datasets found

The dataset used in this paper is the handwritten digits dataset.

The MNIST-scale dataset is a dataset of images of handwritten digits, where each image is scaled to a different size.

The dataset used in the paper is MNIST Fashion and MNIST Handwritten digits.

The MNIST dataset is a large dataset of handwritten digits, and the CIFAR-10 dataset is a dataset of images from 10 different classes.

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

The USPS dataset consists of 9298 images of handwritten digits 0-9 (10 classes) of 16x16 pixels in gray scale.

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 handwritten digit database is a dataset of 60,000 8x8 grayscale images of handwritten digits.

The MNIST dataset is a large dataset of handwritten digits, and the Fashion MNIST dataset is a similar dataset but with different styles.

FMNIST is a dataset of 28x28 grayscale images of handwritten digits.

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...