Reduced Order Modeling using TensorFlow

Sunil
6 min readMay 18, 2017

While in grad school, I worked on an unsupervised machine learning (ML) problem with computational fluid dynamics (CFD) data (link to the paper and the journal article). The singular value decomposition (SVD) based learning algorithm was written in C++ and ran on the CPU. I was recently recalling this work and decided to re-implement it using TensorFlow. The goals of this post are to write about my experiences with using TensorFlow for :

  1. training an SVD based unsupervised learning ML model using TensorFlow
  2. deploy the trained model with

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