Video: Addressing Key Science Challenges with Adversarial Neural Networks
by staff from High-Performance Computing News Analysis | insideHPC on (#3N2A2)
Wahid Bhimji from NERSC gave this talk at the 2018 HPC User Forum in Tucson. "Machine Learning and Deep Learning are increasingly used to analyze scientific data, in fields as diverse as neuroscience, climate science and particle physics. In this page you will find links to examples of scientific use cases using deep learning at NERSC, information about what deep learning packages are available at NERSC, and details of how to scale up your deep learning code on Cori to take advantage of the compute power available from Cori's KNL nodes."
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