API World + AI DevWorld

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.