{"product_id":"b07t35th5r","title":"Deep Learning for NLP and Speech Recognition","description":"\u003cp\u003eThis textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications.  Deep Learning for NLP and Speech Recognition  explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.\u003cbr\u003e\nMany books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.\u003cbr\u003e\nThe book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:\u003cbr\u003e\nMachine Learning, NLP, and Speech Introduction\u003c\/p\u003e\n\n\u003cp\u003eThe first part has  three chapters  that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries.\u003c\/p\u003e\n\n\u003cp\u003eDeep Learning Basics\u003c\/p\u003e\n\n\u003cp\u003eThe  five chapters  in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks.\u003c\/p\u003e\n\n\u003cp\u003eAdvanced Deep Learning Techniques for Text and Speech\u003c\/p\u003e\n\n\u003cp\u003eThe third part has  five chapters  that discuss the latest and cutting-edge research in \t\tthe areas of deep learning that intersect with NLP and speech. Topics including \t\tattention mechanisms, memory augmented networks, transfer learning, multi-task \t\tlearning, domain adaptation, reinforcement learning, and end-to-end deep learning for \t\tspeech recognition are covered using case studies.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52834851717336,"sku":"YSL56829","price":38.85,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/51qFcNUOtjL._SY1500.jpg?v=1793261170","url":"https:\/\/www.bookmebay.com\/products\/b07t35th5r","provider":"BookMebay","version":"1.0","type":"link"}