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Key benefits

Learn to solve common NLP problems effectively with TensorFlow 2.x

Implement end-to-end data pipelines guided by the underlying ML model architecture

Use advanced LSTM techniques for complex data transformations, custom models and metrics

Description

Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures. The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of TensorFlow 2.x. In the following chapters, you then learn how to generate powerful word vectors, classify text, generate new text, and generate image captions, among other exciting use-cases of real-world NLP. TensorFlow has evolved to be an ecosystem that supports a machine learning workflow through ingesting and transforming data, building models, monitoring, and productionization. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models. By the end of this NLP book, you will be comfortable with using TensorFlow to build deep learning models with many different architectures, and efficiently ingest data using TensorFlow Additionally, you’ll be able to confidently use TensorFlow throughout your machine learning workflow.

Who is this book for?

This book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required.

What you will learn

Learn core concepts of NLP and techniques with TensorFlow

Use state-of-the-art Transformers and how they are used to solve NLP tasks

Perform sentence classification and text generation using CNNs and RNNs

Utilize advanced models for machine translation and image caption generation

Build end-to-end data pipelines in TensorFlow

Learn interesting facts and practices related to the task at hand

Create word representations of large amounts of data for deep learning

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Natural Language Processing with TensorFlow

$41.99

Transformers for Natural Language Processing

$89.99

$46.99

Total $ 178.97

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fatima fakih Sep 06, 2022

I literally like this book and I am in love with this book I would suggest everyone just read because I have actually passed my exam because of this book thanks Amazon

Amazon Verified review

Akshit shah Aug 10, 2022

This book covers all the areas of classic NLP - Word2vec, Word Vectors, CNNs, RNNs, Sequence-to-Sequence Learning, and of course Transformers There is enough explanation and comments in the code for me to follow along without getting lost. also, the results are evaluated qualitatively and quantitatively and metrics are proposed. I look forward to working with the code accompanying the book to try out the transformers. Huge thanks to the author - great book, great resource!

Stephan Miller Aug 02, 2022

I have been interested in natural language processing for over a decade now, but it has been only recently that technology has made it possible to do the things I wanted to try. And this book helped me get there. After starting with a couple of chapters introducing you to NLP, neural nets, and Tensor Flow, it dives right into using NLP by starting with Word2Vec and TDIDF which have been around for a while. After that it gets into more advanced algorithms like GloVe, ELMo, convolutional neural networks, recurrent neural networks, long short-term memory networks, sequence to sequence learning, and transformers. There is a lot to learn here with good examples. I recommend it if you are interested in learning what is happening in NLP today.

Placeholder Sep 06, 2022

The media could not be loaded. Thank you so much Amazon for giving me this book and this helps me a lot to pass the exam I have fully gone through by this book and other books as well but this was the best❤️❤️

Saksham Apr 30, 2024

As a beginner in Natural Language Processing, I found this book to be very easy to understand and grasp on topics. With a lot of theory and hands-on application using TensorFlow, this book offers a comprehensive understanding of NLP concepts while empowed us readers to implement them in real-world scenarios. The clear explanations and practical examples make complex concepts accessible, making it suitable for both beginners and regular practitioners. Whether you're diving into sentiment analysis or text generation, this book equips you with the tools and knowledge to navigate the evolving landscape of NLP with confidence."

Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks , Second Edition

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