You're reading from Java Deep Learning Cookbook

Product typeBook

Published inNov 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781788995207

Edition1st Edition

Languages

Java

Tools

Deeplearning4j TensorFlow

Concepts

Deep Learning

Author (1)

Rahul Raj

Importing Google News vectors

Google provides a large, pretrained Word2Vec model with around 3 million 300-dimension English word vectors. It is large enough, and pretrained to display promising results. We will use Google vectors as our input word vectors for the evaluation. You will need at least 8 GB of RAM to run this example. In this recipe, we will import the Google News vectors and then perform an evaluation.

How to do it...

Import the Google News vectors:

File file = new File("GoogleNews-vectors-negative300.bin.gz");
Word2Vec model = WordVectorSerializer.readWord2VecModel(file);

Run an evaluation on the Google News vectors:

model.wordsNearest("season",10))

...

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Java Deep Learning Cookbook

Published in: Nov 2019Publisher: PacktISBN-13: 9781788995207

Author (1)

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

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