The.Hottest

Delip Rao, Brian McMahan ... 256 pages - Publisher: O'Reilly Media; (February, 2019) ... Language: English - ISBN-10: 1491978236 - ISBN-13: 978-1491978238.

Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations.

Explore computational graphs and the supervised learning paradigm + Master the basics of the PyTorch optimized tensor manipulation library + Get an overview of traditional NLP concepts and methods + Learn the basic ideas involved in building neural networks + Use embeddings to represent words, sentences, documents, and other features + Explore sequence prediction and generate sequence-to-sequence models + Learn design patterns for building production NLP systems.

Zong-Xian Zhang ... 608 pages - Publisher: Butterworth-Heinemann; (May, 2016) ... Language: English - ISBN-10: 012802688X - ISBN-13: 978-0128026885 ...

Rock Fracture and Blasting: Theory and Applications provides the latest on stress waves, shock waves, and rock fracture, all necessary components that must be critically analyzed to maximize results in rock blasting. The positioning of charges and their capacity and sequencing are covered in this book, and must be carefully modeled to minimize impact in the surrounding environment. Through an explanation of these topics, author Professor Zhang’s experience in the field, and his theoretical knowledge, users will find a thorough guide that is not only up-to-date, but complete with a unique perspective on the field.

Includes a rigorous exposition of Stress Waves and Shock Waves, as well as Rock Fracture and Fragmentation + Provides both Empirical and Hybrid Stress Blasting Modeling tools and techniques for designing effective blast plans + Offers advanced knowledge that enables users to choose better blast techniques + Includes exercises for learning and training in each chapter.

Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita ... 403 pages - Publisher: Springer; (April, 2019) ... Language: English - ASIN: B07QD8SLQ4 by Amazon.

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.

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