SAS Tutorial | Autotuning Deep Learning Models Using SAS 

What is autotuning? In this SAS How To Tutorial, SAS’ Robert Blanchard explains that “autotuning is a technology developed by SAS to intelligently and efficiently search a decision space.” Data scientists enter this “decision space” when choosing how to define a base architecture of their model or code base.
Robert explains three aspects of autotuning in a deep learning context: globalized search, localized search and an in parallel method using SAS - specifically with the Black-Box Optimization Solver (or Solve Black-Box). You’ll see how to use Solve Black-Box to find a good model architecture or customize a backbone model to better fit your data.
Chapters
00:00 - Intro
00:56 - Autotuning in a deep learning context
02:25 - Autotuning overview
03:44 - Globalized search through a genetic algorithm
06:08 - Localized search method
07:17 - Demo: How to perform autotuning for deep learning in SAS
08:44 - Build a customized model in SAS
13:40 - Explanation of the Solve Black-Box code
Learn more about SAS Software
◉ What is deep learning? - www.sas.com/en_us/insights/an...
◉ Data Mining and Machine Learning Community - communities.sas.com/t5/SAS-Da...
◉ Black-Box Optimization Solver (Solve Black-Box) -documentation.sas.com/doc/en/...
◉ AI & Machine Learning Professional Training - www.sas.com/en_us/training/ac...
Learn more about deep learning from Robert
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