Book

Hands-On Natural Language Processing with Python

This book teaches you to leverage deep learning models in performing various NLP tasks along with showcasing the best practices in dealing with the NLP challenges. The book equips you with practical knowledge to implement deep learning in your linguistic applications using NLTk and Python's popular deep learning library, TensorFlow.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

10h24m

Language

English

About Book

Who Is This Book For?

Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.

Book content

chapters 10h24m total length

Getting Started

Text Classification and POS Tagging Using NLTK

Deep Learning and TensorFlow

Semantic Embedding Using Shallow Models

Text Classification Using LSTM

Searching and DeDuplicating Using CNNs

Named Entity Recognition Using Character LSTM

Text Generation and Summarization Using GRUs

Question-Answering and Chatbots Using Memory Networks

Machine Translation Using the Attention-Based Model

Speech Recognition Using DeepSpeech

Text-to-Speech Using Tacotron

Deploying Trained Models

Related Resources

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