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

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. 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. 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. 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. 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. 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.