Various Optimisation Techniques and their Impact on Generation of Word Embeddingsby@dataturks
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Various Optimisation Techniques and their Impact on Generation of Word Embeddings

January 8th 2020
10 min
by @dataturks 3,878 reads
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The topic of interest is word2vec model for generation of word embeddings. This covers many concepts of machine learning. We shall learn about a single hidden layer neural network, embedding, and various optimisation techniques. The next part of the tutorial is the next part implementing the skip gram model. Let’s use the source code for Word2Vec and the dataset available in nltkcorpus. It is a replica of Project Gutenberg. The code is available to download and use in the next tutorial.

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