{"product_id":"9781617295447","title":"Deep Learning for Natural Language Processing","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eRaaijmakers, Stephan\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12\/6\/2022\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eExplore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eInside \u003ci\u003eDeep Learning for Natural Language Processing\u003c\/i\u003e you’ll find a wealth of NLP insights, including:\u003cbr\u003e\u003cbr\u003eAn overview of NLP and deep learning\u003cbr\u003eOne-hot text representations\u003cbr\u003eWord embeddings\u003cbr\u003eModels for textual similarity\u003cbr\u003eSequential NLP\u003cbr\u003eSemantic role labeling\u003cbr\u003eDeep memory-based NLP\u003cbr\u003eLinguistic structure\u003cbr\u003eHyperparameters for deep NLP\u003cbr\u003e\u003cbr\u003eDeep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve \"human\" levels of summarizing, making connections, and other tasks that require comprehension and context. \u003ci\u003eDeep Learning for Natural Language Processing\u003c\/i\u003e reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eDeep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDeep Learning for Natural Language Processing\u003c\/i\u003e teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You’ll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses!\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eImprove question answering with sequential NLP\u003cbr\u003eBoost performance with linguistic multitask learning\u003cbr\u003eAccurately interpret linguistic structure\u003cbr\u003eMaster multiple word embedding techniques\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor readers with intermediate Python skills and a general knowledge of NLP. No experience with deep learning is required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eStephan Raaijmakers\u003c\/b\u003e is professor of Communicative AI at Leiden University and a senior scientist at The Netherlands Organization for Applied Scientific Research (TNO).\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART 1 INTRODUCTION\u003cbr\u003e1 Deep learning for NLP\u003cbr\u003e2 Deep learning and language: The basics\u003cbr\u003e3 Text embeddings\u003cbr\u003ePART 2 DEEP NLP\u003cbr\u003e4 Textual similarity\u003cbr\u003e5 Sequential NLP\u003cbr\u003e6 Episodic memory for NLP\u003cbr\u003ePART 3 ADVANCED TOPICS\u003cbr\u003e7 Attention\u003cbr\u003e8 Multitask learning\u003cbr\u003e9 Transformers\u003cbr\u003e10 Applications of Transformers: Hands-on with BERT","brand":"Manning","offers":[{"title":"Default Title","offer_id":42973608673535,"sku":"9781617295447","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_1d237ff2-5882-48db-85b1-b364bb4b73c7.jpg?v=1771351503","url":"https:\/\/massivebookshop.com\/products\/9781617295447","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}