Tuning for Systematic Trading: Efficient deep learning and tuning

This month’s talk in the Tuning for Systematic Trading series focuses on deep learning. Customers increasingly use our solution to optimize hyperparameters of neural networks, parameterize and tune neural architecture and efficiently train these models. Topics covered include: -Tuning parallelization: Run intelligent Bayesian optimization in parallel to take full advantage of compute and reduce wall-clock time -Multitask optimization: Run a combination of partial and full cost tasks in a single tuning j