[LA-SiGMA] HPC Training: Introduction to Machine Learning

[Feng Chen]

Dear All,

The Schedule for the Fall 2016 HPC Training is available at http://www.hpc.lsu.edu/training/tutorials.php.

Our last HPC training this semester will be held on Wednesday, November 9 at 9:00 AM in 307 Frey Computing Service Center and broadcast through WebEx for remote users. All HPC trainings will start at 9:00AM.

The training sessions are subject to cancellation due to lack of registrations, so please register at http://www.hpc.lsu.edu/training/tutorials.php as early as possible if you plan on attending. Registration closes in the afternoon at 4:30pm on the day prior to the training.

Wednesday, November 9,2016: Introduction to Machine Learning
Machine learning, which learns from and generates predictions on data, has become one of the most important technology impacting every application domain including e-commerce, medical informatics, science and engineering. As data get massive and more complex, a deep learning framework emerges as a powerful tool to learn robust and complex features directly from data without domain-specific knowledge. Deep neural networks have shown great success in various fields such as computer vision, natural language processing, and speech recognition, and been widely used in big tech companies such as Google, Microsoft and Facebook. Existing tools such as Keras, Tensorflow and Theanos are being developed to build and evaluate deep learning models. This training demonstrates how to build your first deep learning model for image classification tasks using existing python library Keras. We invite Dr. Mingxuan Sun, Assistant Professor in Computer Science, to present insights on current work of applying deep learning to recommender systems.
Note: The hands-on examples will be demonstrated using the LONI QB2 cluster.

Please visit http://www.hpc.lsu.edu/training/tutorials.php for more details and register using the link provided.
Users who plan on joining remotely will be provided with a WebEx Link in their registration confirmation email. Please see the system requirements at https://grok.lsu.edu/Categories.aspx?parentCategoryId=3381.

Please distribute to faculty, staff and students that might be interested.

Thanks,

Feng Chen, PhD
IT Consultant
High Performance Computing
Louisiana State University
329 Frey Computing Services Center, Baton Rouge, LA  70803
office 225-578-2924
fchen14 at lsu.edu<mailto:fchen14 at lsu.edu>


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