Model Optimizer Developer Guide
https://software.intel.com/en-us/articles/OpenVINO-ModelOptimizer
November 14, 2018
Introduction
Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment environment, performs static model analysis, and adjusts deep learning models for optimal execution on end-point target devices.
Model Optimizer process assumes you have a network model trained using one of the supported frameworks. The diagram below illustrates the typical workflow for deploying a trained deep learning model: