November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Summary
In this chapter, we have introduced how to export your trained model in TensorFlow and convert it into a usable format in TensorFlow.js. TensorFlow exports models mainly in two types of formats. One is SavedModel, which is a low-level format but it enables us to flexibly control variable mapping and share it with multiple graph definitions. If you want to construct a serialized model in a sufficiently optimized manner, SavedModel is the one you need to consider. Another format is Keras HDF5. As Keras is a pretty popular framework running on top of TensorFlow, exporting a model in Keras format could be the optimal solution for developers. Thanks to the limited number of configurations we need to set explicitly, that must be the easiest ...
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