Book
Deep Learning for Natural Language Processing
Starting with the basics, this book teaches you how to choose from the various text pre-processing techniques and select the best model from the several neural network architectures for NLP issues.
Offered by
Difficulty Level
Intermediate
Completion Time
12h24m
Language
English
About Book
Who Is This Book For?
If you’re an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.
Deep Learning for Natural Language Processing
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h24m total length
Introduction to Natural Language Processing
Application of Natural Language Processing
Introduction to Neural Networks
Foundations of Convolutional Neural Network
Recurrent Neural Networks
Gated Recurrent Units
Long Short-Term Memory (LSTM)
State-of-the-Art Natural Language Processing
A Practical NLP Project Workflow in an Organization
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