November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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tfjs-converter
As we mentioned previously, TensorFlow.js is capable of reusing any existing models that have been trained by TensorFlow. To do so, we need to make tfjs-converter runnable in our environment. tfjs-converter is a command-line tool that we can use to convert the TensorFlow model. tfjs-converter currently supports the following file formats:
| File format | Option |
|
Keras HDF5 |
keras |
| Keras SavedModel | keras_saved_model |
| TensorFlow Hub | tf_hub |
| TensorFlow SavedModel |
tf_saved_model |
Since tfjs-converter is a command-line tool that runs in Python, you need to prepare the Python runtime first. tfjs-converter internally uses TensorFlow and Keras. To avoid conflicts with the local installation, it is highly recommended that ...
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