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Reading digits in natural images with unsupervised feature learning
The paper presents a method for reading digits in natural images using unsupervised feature learning. -
Tiny Images
Tiny Images dataset is a large dataset of images, each with a small size. -
Learning Multiple Layers of Features from Tiny Images
The CIFAR-10 dataset consists of 60,000 training images and 10,000 test images. Each image is a 32×32 color image.
