Moritz Neeb - Bayesian Optimization and it’s application to Neural Networks

PyData Berlin 2016 This talk will be about the fundamentals of Bayesian Optimization and how it can be used to train ML Algorithms in Python. To this end we’ll consider it’s application to Neural Networks. The NNs will be implemented in keras, the Bayesian Optimization will be optimized with hyperas/hyperopt. Have you ever failed to train a Neural Network? Spent hours, to get it even learn anything? If you ask an expert on how she does this, the answer might be something like: “It needs a lot of experienc