February 23, 2020

235 words 2 mins read

Node-RED and TensorFlow.js: Developing deep learning IoT apps in the browser

Node-RED and TensorFlow.js: Developing deep learning IoT apps in the browser

Va Barbosa and Paul Van Ec highlight the benefits of using TensorFlow.js and Node-RED together as an educational tool to engage developers and provide you with a powerful, creativity-inspiring platform for interacting and developing with machine learning models.
Talk Title Node-RED and TensorFlow.js: Developing deep learning IoT apps in the browser
Speakers va barbosa (IBM), Paul Van Eck (IBM)
Conference O’Reilly TensorFlow World
Conf Tag
Location Santa Clara, California
Date October 28-31, 2019
URL Talk Page
Slides Talk Slides
Video

Node-RED is an open source visual programming tool built on Node.js, capable of wiring together hardware devices, APIs, and online services in new and interesting ways. Node-RED users range from beginning developers to experts running complex workflows. Thanks to TensorFlow.js and the ability to run models in the browser, these assets can now be introduced into the Node-RED environment and interacted with in a visual, user-friendly way. Va Barbosa and Paul Van Ec highlight the benefits of using TensorFlow.js and Node-RED together as an educational tool to engage developers and provide them with a powerful, creativity-inspiring platform for interacting and developing with machine learning models. Through live demos, you’ll see how a TensorFlow.js model becomes a Node-RED node, some basic usage examples for new users, and some more challenging applications to showcase what’s capable when you combine the power of TensorFlow, the creativity of the JavaScript community, and an intuitive visual, browser-based editor like Node-RED.

api tensorflow open source javascript programming deep learning iot machine learning hardware
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