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Hands-On PyTorch Machine Learning

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Helen Sun

56:52

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  • 01 - Explore the capabilities of PyTorch.mp4
    00:51
  • 01 - PyTorch overview.mp4
    04:13
  • 02 - PyTorch environment setup.mp4
    03:50
  • 03 - PyTorch use case description.mp4
    02:23
  • 04 - PyTorch data exploration.mp4
    04:13
  • 01 - Understand PyTorch tensors.mp4
    03:33
  • 02 - Understand PyTorch basic operations.mp4
    02:53
  • 03 - Understand PyTorch NumPy Bridge.mp4
    03:33
  • 04 - Understand PyTorch autograd.mp4
    02:50
  • 05 - Advanced PyTorch autograd.mp4
    02:02
  • 01 - Torchvision introduction.mp4
    08:41
  • 02 - Torchvision for video and image understanding.mp4
    01:22
  • 01 - Torchaudio introduction.mp4
    03:25
  • 02 - Torchaudio for audio understanding.mp4
    04:03
  • 01 - Torchtext introduction.mp4
    03:39
  • 02 - Torchtext for translation.mp4
    04:08
  • 01 - Continuing your PyTorch learning process.mp4
    01:13
  • Description


    Many of the world’s most exciting and innovative new tech projects leverage the power of machine learning. But if you want to set yourself apart as a data scientist or machine learning engineer, you need to stay up to date with the current tools and best practices for creating effective, predictable models.

    In this course, instructor Helen Sun shows you how to get up and running with PyTorch, the open-source machine learning framework known for its simplicity, performance, and APIs. Explore the basic concepts of PyTorch, including tensors, operators, and conversion to and from NumPy, as well as how to utilize autograd, which tracks the history of every computation recorded by the framework. By the end of this course, you’ll also be equipped with a new set of skills to get the most out of Torchvision, Torchaudio, and Torchtext.

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    Helen Sun is a technology strategist and thought leader. She is known as an expert in transforming businesses through innovative solutions applying artificial intelligence, cloud, analytics, and architecture. Before joining Facebook as an engineering and AI leader, Helen was Chief Technology Officer at Stats Perform, and CTO at JP Morgan Chase Commercial Banking. Prior to her rising to C-Suite, Helen held various executive roles at some of the most innovative companies including Motorola Solutions, Oracle, and Salesforce. Helen is a published author of highly rated titles in big data and analytics including “The Big Data Handbook”, and "Master Competitive Analytics with Oracle Endeca Information Discovery". Her 3rd title named “Pro Salesforce Analytics Cloud” was published in January 2016. Helen is a frequent speaker at major conferences, including GOTO CTO Summit, IEEE, Oracle Open World, Hadoop Summit, and The Open Group events. Helen was also keynote speaker at The Open Group Big Data Conference. She was the featured speaker at the University of Chicago “Women in Analytics” symposium, and Northwestern University MEM Industry Night. Helen was recognized as Timmy Awards Best Tech Manager of the year 2019, Crain's Tech 50 in 2018, and Chicago Women of influence class of 2016. Helen has strived to mentor women throughout her career. While at Oracle, Helen became the first woman to achieve “Oracle Enterprise Architect” status. She was subsequently honored as “Oracle Enterprise Architect of the Year” for her contributions on critical growth. After this achievement, Helen mentored other women at Oracle, who also achieved this elite status. During her tenure, Helen lead the development of Oracle Information Architecture Framework and Development Process, and published many white papers on Architecture, Big Data, Analytics, and Data Governance. While at Salesforce, Helen was the head of global enterprise architecture. She created an EA framework, training, GTM strategy, certification process, and subsequently mentored architects to achieve certification. Helen also currently serves as board member for P33 and i.c.stars.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 17
    • duration 56:52
    • Release Date 2023/03/01