Validation and Machine Learning - Some thoughts on Deep Neural Networks

Lecture 1: Kientz In this talk we outline the use of Machine Learning algorithms and their potential application. We focus on Deep Neural Networks. The aim is to outline different network architectures. Then, we wish to find a way of choosing the architecture that best fits from a model validation perspective. This approach is illustrated with examples. Lecture 2: Ben Steiner In this talk we will discuss the challenges of Deep learning and focus on the key as