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Making TensorFlow Models Portable Using ONNX

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9 Sep 2020CPOL5 min read 17.6K   117   1  
In this article, I provided a brief overview of TensorFlow 1.0 and TensorFlow 2.0 for those looking for a deep learning framework for building and training neural networks.
Here I show how to install the tf2onnx conversion package and convert TensorFlow models to the ONNX format. I also showed an easy to make mistakes when specifying the shape of input parameters.

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


Written By
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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