Abstract: Automating the discovery of nude pictures has been a major problem in computer vision for over two decades now, and, because of its rich history and straightforward goal, serves as a great example of how the field has evolved. We'll use the problem of nudity detection to illustrate how training modern convolutional neural networks (convnets) differs from research done in the past. In particular, we'll discuss the notion of a deconvolutional network and demonstrate how they can be used to visualize intermediate feature layers and the operator of a classifier.
Bio: Ryan Compton heads data science at Clarifai (https://www.clarifai.com/). He was previously on the research staff at Howard Hughes Laboratories and has a mathematics PhD from UCLA. His website is http://www.ryancompton.net/