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You're reading from  Advanced Deep Learning with Python

Product typeBook
Published inDec 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789956177
Edition1st Edition
Languages
Python
Tools
PyTorchTensorFlow
Concepts
Deep Learning
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Author (1)
Ivan Vasilev
Ivan Vasilev
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Ivan Vasilev

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, with whom he continued its development. He has also worked as a machine learning engineer and researcher in medical image classification and segmentation with deep neural networks. Since 2017, he has focused on financial machine learning. He co-founded an algorithmic trading company, where he's the lead engineer. He holds an MSc in artificial intelligence from Sofia University St. Kliment Ohridski and has written two previous books on the same topic.
Read more about Ivan Vasilev

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Implementing language models

In this section, we'll implement a short pipeline for preprocessing text sequences and training a word2vec model with the processed data. We'll also implement another example to visualize embedding vectors and check some of their interesting properties.

The code in this section requires the following Python packages:

  • Gensim (version 3.80, https://radimrehurek.com/gensim/) is an open source Python library for unsupervised topic modeling and NLP. It supports all three models that we have discussed so far (word2vec, GloVe, and fastText).
  • The Natural Language Toolkit (NLTK, https://www.nltk.org/, ver 3.4.4) is a Python suite of libraries and programs for symbolic and statistical NLP.
  • Scikit-learn (ver 0.19.1, https://scikit-learn.org/) is an open source Python ML library with various classification, regression, and clustering algorithms. More...
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Advanced Deep Learning with Python
Published in: Dec 2019Publisher: PacktISBN-13: 9781789956177
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Ivan Vasilev

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, with whom he continued its development. He has also worked as a machine learning engineer and researcher in medical image classification and segmentation with deep neural networks. Since 2017, he has focused on financial machine learning. He co-founded an algorithmic trading company, where he's the lead engineer. He holds an MSc in artificial intelligence from Sofia University St. Kliment Ohridski and has written two previous books on the same topic.
Read more about Ivan Vasilev

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