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Intro to #DeepLearning using #PyTorch

Posted on February 21st, 2017

#ACM NY

02/21/2017 @ NYU Courant Institute (251 Mercer St, New York, NY)

Soumith Chintala @Facebook first talked about trends in the cutting edge of machine learning. His main point was that the world is moving from fixed agents to dynamic neural nets in which agents restructure themselves over time. Currently, the ML world is dominated by static datasets + static model structures which learn offline and do not change their structure without human intervention.

He then talked about PyTorch which is the next generation of ML tools after Lua #Torch. In creating PyTorch they wanted to keep the best features of LuaTorch, such as performance and extensibility while eliminating rigid containers and allowing for execution on multiple-GPU systems. PyTorch is also designed so programmers can create dynamic neural nets.

Other features include

  1. Kernel fusion – take several objects and fuse them into a single object
  2. Order of execution – reorder objects for faster execution
  3. Automatic work placement when you have multiple GPUs

PyTorch is available for download on http://pytorch.org and was released Jan 18, 2017.

Currently, PyTorch runs only on Linux and OSX.

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