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MIT Profession Education: Designing Efficient Deep Learning

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Dates:Monday, July 22, 2019 - Tuesday, July 23, 2019
Hours:9:30am-5:30pm
Ages:Adults
In/Outdoor:Indoor
Cost:$$$$ see below
Category:Lectures/Discussions

Deep learning is widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, robotics, and more.

While deep learning delivers state-of-the-art accuracy on many AI tasks, it requires high computational complexity.

Accordingly, designing efficient hardware systems to support deep learning is an important step towards enabling its wide deployment, particularly for embedded applications such as mobile, Internet of Things (IOT), and drones.

This course aims to provide a comprehensive tutorial and survey about the recent advances towards enabling the efficient processing of deep learning.

Specifically, it will provide an overview of deep learning, discuss various hardware platforms and architectures that support deep learning, and highlight key trends in recent efficient processing techniques that reduce the cost of computation for deep learning either solely via hardware design changes or via joint hardware design and network algorithm changes.

It will also summarize various development resources that can enable researchers and practitioners to quickly get started on deep learning design, and highlight important benchmarking metrics and design considerations that should be used for evaluating the rapidly growing number of deep learning hardware designs, optionally including algorithmic co-design, being proposed in academia and industry.

This course meets July 22-23, 2019 from 9:30am-5:30pm.

Course fee is $2,500.

Register now to secure your spot.

COST↑ top

Course fee - $2,500

WEBSITE↑ top

professional.mit.edu/programs/short-programs/designing-efficient-deep-learning-systems?utm_source=bostoncentral&utm_medium=web&utm_campaign=sp-dls-2019&utm_content=calendar

LOCATION↑ top

77 Massachusetts Avenue, Cambridge, MA, 02139 map

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