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You're reading from  Java Deep Learning Cookbook

Product typeBook
Published inNov 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781788995207
Edition1st Edition
Languages
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Author (1)
Rahul Raj
Rahul Raj
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Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
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Creating an API endpoint for the image classifier

We want to leverage the image classifier as an API to use them in external applications. An API can be accessed externally, and prediction results can be obtained without setting up anything. In this recipe, we will create an API endpoint for the image classifier.

How to do it...

  1. Persist the model using ModelSerializer:
File file = new File("cnntrainedmodel.zip");
ModelSerializer.writeModel(model,file,true);
ModelSerializer.addNormalizerToModel(file,scaler);
  1. Restore the trained model using ModelSerializer to perform predictions:
MultiLayerNetwork network = ModelSerializer.restoreMultiLayerNetwork(modelFile);
NormalizerStandardize normalizerStandardize = ModelSerializer...
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Java Deep Learning Cookbook
Published in: Nov 2019Publisher: PacktISBN-13: 9781788995207

Author (1)

author image
Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
Read more about Rahul Raj