February 2020
Intermediate to advanced
560 pages
22h 18m
English
Content preview from Deep Learning with JavaScriptBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Foreword
When we started TensorFlow.js (TF.js), formerly called deeplearn.js, machine learning (ML) was done mostly in Python. As both JavaScript developers and ML practitioners on the Google Brain team, we quickly realized that there was an opportunity to bridge the two worlds. Today, TF.js has empowered a new set of developers from the extensive JavaScript community to build and deploy ML models and enabled new classes of on-device computation.
TF.js would not exist in its form today without Shanqing, Stan, and Eric. Their contributions to TensorFlow Python, including the TensorFlow Debugger, eager execution, and build and test infrastructure, uniquely positioned them to tie the Python and JavaScript worlds together. Early on in the development, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.