Large-scale open source projects can be daunting, and one of the goals of TensorFlow is to be accessible to many contributors. Joana Carrasqueira and Nicole Pang (Google) share some great ways to get involved in TensorFlow, explain how its design and development works, and show you how to get started if you’re new to machine learning or new to TensorFlow.
They cover a variety of ways for you to participate, including Special Interest Groups, which are project-specific groups for collaboration and contribution; request for comments (RFCs), the open discussion of design directions; documentation and translation communities; user groups and the Google Developer Expert ML program; and GitHub and Stack Overflow. On the learning side, they cover new education resources, how you can learn TensorFlow from TensorFlow instructors and renowned faculty in academia, and how to showcase your TensorFlow expertise as you gain skill sets crucial to getting involved in the machine learning world.
What you'll learn
- See how to get started participating in the TensorFlow community
- Title: Getting involved in the TensorFlow community
- Release date: February 2020
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920373407
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