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In this exciting Professional Certificate program offered by Harvard University and Google Tensor Flow, you will learn about the emerging field of Tiny Machine Learning (Tiny ML), its real-world applications, and the future possibilities of this transformative technology. Tiny ML is a cutting-edge field that brings the transformative power of machine learning (ML) to the performance- and power-constrained domain of tiny devices and embedded systems. Successful deployment in this field requires intimate knowledge of applications, algorithms, hardware, and software. This...
Courses under this program:Course 1: Fundamentals of TinyMLFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the language of TinyML.Course 2: Applications of TinyMLGet the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.Course 3: Deploying TinyMLLearn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, youll be implementing an entire TinyML application.
Tiny Machine Learning (TinyML)
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