Natural Language Processing with TensorFlow, Second Edition

eBook Details:

• Paperback: 514 pages
• Publisher: WOW! eBook; 2nd edition (July 29, 2022)
• Language: English
• ISBN-10: 1838641351
• ISBN-13: 978-1838641351

eBook Description:

Natural Language Processing with TensorFlow, 2nd Edition: From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models

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.

• 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

By the end of this Natural Language Processing with TensorFlow, 2nd Edition 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.