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Getting Started

Now that you have understood what is TinyML you are probably thinking of testing out some examples and codes. Also you will be thinking that what will be essential required things for that. Well I have got you covered. 
Check out this video where Pete Warden explains about getting started with ML on edge devices

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Welcome to the Community

Hello everyone Welcome to this group for people interested to share their ideas , views and expressions for Tiny Machine Learning aka TinyML. You are fully free to share anything or express your opinion but relate to the rules only. If you find anything unpleasant then you are free to leave the community. Join our Telegram group here For suggestions or queries drop a mail here

Intro to TinyML

 What is TinyML ? Tiny Machine Learning (TinyML) is the intersection of Machine Learning and Embedded IoT Devices. The pervasiveness of ultra-low-power embedded devices, coupled with the introduction of embedded machine learning frameworks like TensorFlow Lite for Microcontrollers, will enable the mass proliferation of AI-powered IoT devices. The explosive growth in machine learning and the ease of use of platforms like TensorFlow (TF) make it an indispensable topic of study for modern computer science and electrical engineering students.  Why is TinyML gaining popularity ? Because of the following features -  Low - in - cost High Security Saves data and time  Is there some kind of explanatory videos ? Sure there is. Check these out from Pete Warden , Technical Lead of Google's Tensorflow Lite for Microcontrollers team