Abstract: Improving the generalization performance of deep neural networks (DNNs) trained by minibatch stochastic gradient descent (SGD) has raised lots of concerns from deep learning practitioners.

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Abstract: Deep learning based methods have made great progress in hyperspectral image classification. However, training a deep learning model often requires a large number of labeled samples, which ...