Zero to hero with TensorFlow 2.0
Who is this presentation for?
- Developers and technical decision makers
Laurence Moroney explores how to go from wondering what ML is to building a convolutional neural network to recognize and categorize images by explaining what AI and ML are and how Google thinks about it. You’ll see a new coding paradigm to use while thinking in terms of ML instead of traditional coding and how to create a “Hello, World” of ML, which shows you how all of the concepts of a detailed model are implemented even in a “Hello, World.” Laurence introduces and explains how a custom dataset can be classified using convolutions. You’ll learn the next steps and gain the foundation to understand how to use ML and AI in apps all the way from the enterprise cloud down to tiny microcontrollers using the same code.
- A basic understanding of Python
What you'll learn
- Learn the ML programming paradigm using TensorFlow 2.0
Laurence Moroney is a developer advocate on the Google Brain team at Google, working on TensorFlow and machine learning. He’s the author of dozens of programming books, including several best sellers, and a regular speaker on the Google circuit. When not Googling, he’s also a published novelist, comic book writer, and screenwriter.
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