The Argonne Leadership Computing Facility will host a hands-on training session on DeepHyper (https://github.com/deephyper/deephyper), a distributed automated machine learning (AutoML) software package for automating the design and development of deep neural networks for scientific and engineering applications.
DeepHyper seeks to bring a scientifically rigorous automated approach to neural network model development by reducing the manually intensive, cumbersome, ad hoc, trial-and-error efforts.
DeepHyper can run on a laptop, medium range clusters, and supercomputers with thousands of compute units (GPUs).
In this virtual workshop attendees will learn various capabilities of the DeepHyper software to automate the design and development of neural networks.
DeepHyper GitHub repo: https://github.com/deephyper/deephyper
DeepHyper Documentation: https://deephyper.readthedocs.io/en/latest/