Tensor-Train Decomposition for RNN Compression

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Description

An introductory course intended for beginners and enthusiasts who are curious about how to program Arduino UNO in C++. This course takes you a step by step through the basics with simplified illustrative hands-on that require no prior knowledge. The course includes a premium discussion of the relation between IoT, Big Data, Machine Learning, and Deep Learning.

Requirements

Be able to understand basic programming such as if conditions and loops

Who This Course is For

Beginners and enthusiasts curious about IoT, Arduino, and Embedded Systems

What You Will be Learn

Hands-on Arduino APIs in C++

Illustrative examples of the basics of Arduino boards

How to use Arduino IDE for plotting

Writing your own custom Arduino library

A thorough review of advanced research in IoT, Big Data, and AI

Mustafa Qamaruddin

Dragon Zap Instructor

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Dragon Zap Instructor

Data Engineer with more than 10 years of experience

Tensor-Train Decomposition for RNN Compression

Ask a question

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Description

Requirements

Who This Course is For

What You Will be Learn

Mustafa Qamaruddin

Course Content

Getting Started with Arduino

Project: Custom Arduino Library

Inspirational Research Topics in IoT, Big Data, and Machine Learning

IoT Communication Protocols