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Portable Neural Networks with ONNX

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3 Sep 2020CPOL4 min read
This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.
Here we will cover a few key concepts as well as a description of the problem that ONNX solves. This piece will serve as an on-ramp for those new to machine learning and deep learning.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Keith Pijanowski
Technical Lead Bank of New York Mellon
United States United States
Keith is a sojourner in the software industry. He has over 30 years of experience building and bringing applications to market. He has worked for startups and large enterprises in roles ranging from tech lead to business development manager. He is currently a senior engineer on BNY Mellon's Distribution Analytics team where he is building data pipelines from on-premise data sources to the cloud.

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