CODEWITHSUNDEEP
javaword2vecdeeplearning4j
AJ_4real
AJ_4real

Reputation: 167

Deeplearning4j Word2Vec builder seed

In this page (http://deeplearning4j.org/docs/latest/deeplearning4j-nlp-word2vec), this snippet of code is mentioned

        log.info("Building model....");
        Word2Vec vec = new Word2Vec.Builder()
                .minWordFrequency(5)
                .layerSize(100)
                .seed(42)
                .windowSize(5)
                .iterate(iter)
                .tokenizerFactory(t)
                .build();

        log.info("Fitting Word2Vec model....");
        vec.fit();

What does .seed(42) represent? It is not mentioned in the documentation. The javadoc states This method defines random seed for random numbers generator, but that does not help me understand how this value affects the random numbers generator

Upvotes: 0

Views: 148

Answers (1)

raver119
raver119

Reputation: 336

That’s not specific to DL4j - seed defines initial state of random numbers generator, so sequence generated by this generator will be the same every time you try. So, initial weights of your model will be the same.

Upvotes: 0

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