Neural Networks, Cost Functions, and What Happens When You Ignore Math

Convolutional Neural networks are the current state-of-the-art in image processing, far surpassing other popular strategies in terms of performance. These network models are built on heuristics, though, and have a limited foundation of mathematical guarantees. This talk will cover the basics of modern Neural network architectures and provide an overview of notable cases where they fail in unexpected, unpredictable ways.