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Tuesday, June 30 • 3:15pm - 4:05pm
A Collection of Deep Learning Packages for IoT Devices - Yihong Wang & Va Barbosa, IBM

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Combining TensorFlow.js with Node-RED, IoT enthusiasts and developers can now easily incorporate AI into an IoT application and deploy it onto their devices.

Node-RED is an open source visual programming tool built on Node.js; it allows developers to easily wire together hardware devices, APIs, and online services. TensorFlow.js enables running deep learning models in Node.js. Bringing the two together, we have developed a collection of deep learning packages that allow developers to compose apps in a user-friendly way and run the apps directly on the IoT devices.
We will highlight the benefits of Node-RED with TensorFlow.js as a tool to engage developers, and describe the collection of packages. We will demo on the Rasberry Pi and Jetson Nano, showing how a TensorFlow.js model becomes a Node-RED node and creating engaging applications from scratch.
The large collection of open Node.js packages and the availability pre-trained deep learning models can help to democratize access to AI in the IoT community.

Speakers
avatar for Yihong Wang

Yihong Wang

Software Developer, IBM
YiHong is a software developer with the Cognitive OpenTech Group at the IBM Silicon Valley Lab. He has been an active contributor in the TensorFlow community for the past 2 years. He is also a committer in the node.JS community.
avatar for va barbosa

va barbosa

developer advocate, IBM
As a developer advocate for the Center for Open-Source Data & AI Technologies at IBM, va barbosa is focused on helping developers discover and use data and machine learning technologies. The goal being to make AI more accessible to developers and easier for developers to leverage... Read More →



Tuesday June 30, 2020 3:15pm - 4:05pm CDT
Internet of Things Theater