January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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Hands-on NLP with Keras model import into DL4J
In Chapter 10, Deploying on a Distributed System, Importing Python Models in the JVM with DL4J section, we learned how to import existing Keras models into DL4J and use them to make predictions or re-train them in a JVM-based environment.
This applies to the model we implemented and trained in the Hand-on NLP with Keras and TensorFlow backend section in Python, using Keras with a TensorFlow backed. We need to modify the code for that example to serialize the model in HDF5 format by doing the following:
model.save('sa_rnn.h5')
The sa_rnn.h5 file produced needs to be copied into the resource folder for the Scala project to be implemented. The dependencies for the project are the DataVec API, ...
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