Convolutional Neural Nets (ConvNets or CNN) are a class of neural network specialized for image processing. Like other neural networks, they transform input to output through many layers. In CNN layers have a Convolution step, a pooling step (optional) and...

The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so...