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1
Intro
2
Machine Learning Playground
3
TensorFlow GS
4
Writing a simple model
5
Emoji Scavenger Hunt
6
Behind the Scenes
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Save Models
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PoesNet
9
Performance
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NoGS
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Code snippet
12
Serverside
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Demo
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Whats next
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Highlevel bets
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Cloud integrations
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Wrapping up
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Resources
Description:
Explore the capabilities of TensorFlow.js, the JavaScript version of TensorFlow for browser and Node.js environments, in this 33-minute conference talk from the O'Reilly AI Conference in San Francisco. Learn about the complete machine learning workflow, including training, client-side deployment, and transfer learning through demonstrations and practical examples. Discover how to write simple models, use the Machine Learning Playground, and implement features like the Emoji Scavenger Hunt. Gain insights into performance optimization, server-side integration, and future developments in TensorFlow.js. Access additional resources, including the TensorFlow.js framework and GitHub repository, to further enhance your understanding of this powerful tool for JavaScript-based machine learning.

TensorFlow for JavaScript - TensorFlow at O’Reilly AI Conference, San Francisco '18

TensorFlow
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