Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results.
Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field.
Key features
An overview of NLP and deep learning
• Models for textual similarity
• Deep memory-based NLP
• Semantic role labeling
• Sequential NLP
Audience
For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required.
About the technology
Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning
Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
"synopsis" may belong to another edition of this title.
Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
"About this title" may belong to another edition of this title.
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Condition: very_good. Seller Inventory # BSM.188WF
Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy. Seller Inventory # GWV.1617295442.VG
Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy. Seller Inventory # GWV.1617295442.G
Seller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_463513145
Seller: Housing Works Online Bookstore, New York, NY, U.S.A.
Condition: Very Good. Minimal wear to cover. Pages clean and binding tight. shelf wear. bumped edges. Paperback. Seller Inventory # FS4-03192
Seller: Goodwill of Central and Coastal Virginia, Richmond, VA, U.S.A.
Condition: acceptable. Seller Inventory # CCVV.1617295442.A
Seller: GoldBooks, Denver, CO, U.S.A.
Paperback. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # 78P90_67_1617295442
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 35907008-n
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 35907008
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # PB-9781617295447
Quantity: 15 available