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.

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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.

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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