Applied Edge AI: Deep Learning Outside of the Cloud

English

Beginner

12h

Applied Edge AI: Deep Learning Outside of the Cloud

Hosted by OpenHPI

Provided by Hasso Plattner Institute

Taught by PD Dr. Haojin Yang, |, Joseph Bethge (Teaching Team)

Free

No fee required

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Overview

Compared to Cloud Computing, which is centralized in computing and data storage, Edge Computing brings computation and data storage closer to data sources.
Edge AI combines edge computing and AI technology and has become a rapidly developing field in the past few years. Edge AI enables AI computing directly on the edge or client device, enhancing power efficiency, supporting low latency, and solving data privacy problems.
Therefore, what improvements need to be made to traditional deep learning algorithms in Edge AI scenarios? This course teaches you about deep model compression and optimization techniques, decentralized and collaborative deep learning approaches and algorithms, software, and hardware for Edge AI.

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Applied Edge AI: Deep Learning Outside of the Cloud

Applied Edge AI: Deep Learning Outside of the Cloud

Overview

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Applied Edge AI: Deep Learning Outside of the Cloud

Applied Edge AI: Deep Learning Outside of the Cloud

Overview

Related Topics

Related to Machine Learning

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