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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 Print?

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Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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Frequently bought together

Natural Language Processing with TensorFlow

€31.99

Transformers for Natural Language Processing

€67.99

€35.99

Total € 135.97

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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

hawkinflight Aug 06, 2022

I like that the book covers modern techniques such as Word2Vec, GloVe, ELMO, LSTMs, GRUs, NMT, and transformers/BERT architecture. The use-cases are interesting: 1)classifying sentences with CNNs 2)identifying named entities with RNNs 3)translation and chatbots using NMT and the attention mechanism 4)question and answer problem using transformers and BERT architecture 5)image captioning with transformers. I also like that the results are evaluated qualitatively and quantitatively and that 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!

drei34 Mar 21, 2023

This book is fantastic for a number of reasons, not just bc of tensorflow code. For example, I don't use tf much and mostly do pytorch but I found quite a few topics explained here better than in papers or in "textbooks". One example: why do LSTMs solve the vanishing gradient problem better than RNN models? This book has some math derivations on this, you will not find that even in more hardcore (Goodfellow, etc) type books. A GREAT book - read it even if you know the material or do pytorch, you might find something new just in the math/examples not the code.

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❤️❤️

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!

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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