Imaging Deep Learning

The world is increasingly full of deep architectures—multi-level artificial neural networks used to discover (via “deep learning”) patterns in large datasets such as images and texts. But the power and prevalence of these deep architectures masks a major problem—the problem of knowledge-opacity. Such architectures learn to do wonderful things, but they do not (without further coaxing) reveal just what knowledge they are relying upon when they do them. This is both disappointing (theoretically) and dangerous (practically). Deep learning and the patterns it extracts now permeate every aspect of our daily lives, from online search and recommendation systems, to bank-loan applications, healthcare, and dating. Systems that have that much influence over our destinies ought to be as transparent as possible. The good news is that new techniques are emerging to probe…


Link to Full Article: Imaging Deep Learning