Application to the CIFAR-10 labeled subset of the TINY images dataset (Marc'Aurelio Ranzato)
{"Image DocumentName": "Application to the CIFAR-10 labeled subset of the TINY images dataset (Marc\u2019Aurelio Ranzato)", "Image ImageDescription": "There are x32 training images and x32 testing images for each of 10 different classes. In addition, there are 80 million unlabeled images. Train the mcRBM model on a very large number of 8x8 color patches. 81 hiddens for the mean. 144 hiddens and 900 factors for the precision. Replicate the patches across the 32x32 color images. 49 patches with a stride of 4. This gives 49 x 225 = hidden units.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}