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Real-World Natural Language Processing: Practical applications with deep learning.
Real-World-Natural-Language.pdf
ISBN: 9781617296420 | 322 pages | 9 Mb
- Real-World Natural Language Processing: Practical applications with deep learning
- Page: 322
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781617296420
- Publisher: Manning
Rapidshare free ebooks download Real-World Natural Language Processing: Practical applications with deep learning by in English 9781617296420
Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications
Real-World Natural Language Processing - Chapter 2 Books
Real-World Natural Language Processing: Practical applications with deep learning No prior machine learning knowledge assumed.
Build Next-Generation NLP Applications Using AI Techniques
Natural Language Processing Projects: Build Next-Generation NLP Real-World Natural Language Processing: Practical applications with deep learning.
Real-World Natural Language Processing: Practical
No prior machine learning knowledge assumed. Real-World Natural Language Processing: Practical Applications with Deep Learning. Masato Hagiwara (Author).Publisher: Manning PublicationsPrice: $59.99Type: PaperbackPublish Date: December 14, 2021
Deep Learning For Natural Language Processing - Machine
Real-world projects: 6 end-to-end projects. Working code: 99 Python (.py) code files included. Clear and Complete Examples. No Math. Nothing Hidden.
Real-World Natural Language Processing - Loyalty Bookstores
Real-World Natural Language Processing: Practical applications with deep learning Use advanced NLP concepts such as attention and transfer learningRelated Editions (all): e-Book (My Must Reads); Publication Date: December 14th, 2021By: Masato HagiwaraPublisher: Manning
1 Introduction to natural language processing
Also, thanks to modern deep learning libraries, you don't really need to understand the math in order to build practical NLP applications.
Real-World Natural Language Processing - Google Books
No prior machine learning knowledge assumed. Real-World Natural Language Processing: Practical Applications with Deep Learning.
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