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Deep Learning for Natural Language Processing: a pair for the ages

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Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Through detailed instruction and abundant code examples, you’ll explore the most challenging NLP issues and learn how to solve them with deep learning!

Take 42% off your purchase by entering code slraaijmakers into the discount code box at checkout. You can learn more about the book here: http://bit.ly/2Fugeh7

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Deep Learning for Natural Language Processing: a pair for the ages

  1. 1. A Match Made in Heaven Check out Deep Learning for Natural Language Processing. Take 42% off your purchase by using code slraaijmakers at checkout at manning.com.
  2. 2. Help your computer process text Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to NLP to great effect.
  3. 3. Jump in on the cutting edge In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Through detailed instruction and abundant code examples, you’ll explore the most challenging NLP issues and learn how to solve them with deep learning! A multi-layer perceptron with a hidden layer
  4. 4. Dive deep You’ll learn key NLP concepts like neural word embeddings, auto-encoders, part- of-speech tagging, parsing, and semantic inference, before going deeper into advanced topics including deep memory-based NLP, linguistic structure, and hyperparameters for deep NLP. Along the way, you’ll pick up emerging best practices and gain hands-on experience with a myriad of examples, all written in Python and the powerful Keras library. Rosenblatt’s perceptron
  5. 5. Learn from an expert Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university. GMDH network
  6. 6. If you want to learn more about the book, check it out on liveBook here. Take 42% off Deep Learning for Natural Language Processing by using code slraaijmakers at checkout at manning.com.

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