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Title: Torch, TensorFlow and Caffe with IBM PowerAI Instructor: James Nash Level of difficulty: Beginner
Abstract:
This session teaches developers to quickly train a machine learning algorithm using PowerAI virtualization software through Nimbix. The session is designed for anyone who wants to increase their machine learning speed, showing you how to leverage IBM’s new PowerAI for machine learning. can increase speeds over a non-Power architecture when running unsupervised learning iterations using NVIDIA GPUs and the CUDA parallel computing platform. Jupyter Notebooks will be used to showcase an example of machine learning with a time series on IBM Power8 systems.
Speaker:
James Nash
James Nash, IBM Cognitive Technical Leader for NA with the Washington Systems Center (formerly known as ATS). James provides deep focus on the PowerAI stack running on Power servers. He is based in Coppell, Texas but supports activities across North America. While at IBM he has spent time working in product support, teaching PowerVM workshops, and speaking at conferences around the world. Areas of interest include TensorFlow, Caffe, Python, PyTorch and container technologies.
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