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Wednesday, October 9 • 3:00pm - 3:50pm
OPEN TALK (AI): Deep Learning Application on IoT

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IoT can be divided mainly into following four stages:
1. Sensors, Actuators, Controllers (limited resources, limited intelligence)
2. Gateway, Concentrators, Routers (data aggregation, measurement)
3. Edge (analytics, preprocessing)
4. Cloud, Servers (analytics, management)

With the advent of TF lite on microcontrollers, deep learning can be applied at all four stages of IoT.
This presentation will look at evolution of performing functions at every stage of IoT. The presentation will describe how function implementations changed from conventional to rule based to conventional machine learning and finally to deep learning using TF lite.
Conventional machine learning relies on hand crafted feature sets limited to human view and uses large data sets and are not very accurate. Deep learning on the other hand automatically generates engineering feature sets that are beyond human view, provides better training and more accurate prediction that approaches human level accuracy.

AI DevWorld 2019 Speakers
avatar for Avid Farhoodfar

Avid Farhoodfar

Self-motivated Scientist with a curious, analytical mind and a passion for machine learning and AI. Experience in managing and analyzing data using Python, R, MATLAB, Mathematica and developing algorithms and software. Extensive experience with advanced mathematics, statistics and... Read More →

Wednesday October 9, 2019 3:00pm - 3:50pm PDT
AI DevWorld -- Workshop Stage 1