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Verlag: Engineering Science Reference, 2021
ISBN 10: 1799883582 ISBN 13: 9781799883586
Sprache: Englisch
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In den WarenkorbZustand: New. Provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. Chapters present solutions to various real-world problems using these methods from va.
Verlag: Engineering Science Reference, 2021
ISBN 10: 1799883582 ISBN 13: 9781799883586
Sprache: Englisch
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Verlag: Engineering Science Reference, 2021
ISBN 10: 1799875113 ISBN 13: 9781799875116
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In den WarenkorbSoftcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The rapid advancement of deep learning algorithms has opened up new possibilities for language acquisition devices, revolutionizing the way we learn and communicate. Examining the Impact of Deep Learning on Language Acquisition Devices presents a comprehensive exploration of the latest developments in this field, including the use of neural networks, natural language processing, and speech recognition. By examining the potential of deep learning to improve language acquisition outcomes, enhance language understanding, and facilitate communication between humans and machines, this book provides a nuanced understanding of the role that deep learning can play in shaping the future of language acquisition. From the development of personalized language learning systems to the creation of intelligent language translation tools, Examining the Impact of Deep Learning on Language Acquisition Devices offers a fascinating glimpse into the future of language acquisition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Verlag: Continental Academy Press, London
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In den WarenkorbSoftcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Language acquisition devices (LADs) are a critical tool for language learners, and 'Examining the Impact of Deep Learning on Language Acquisition Devices' explores the impact of deep learning on these devices. The author examines the use of deep learning algorithms in LADs, including the development of novel language models, the implementation of real-time feedback systems, and the use of affective computing to enhance language learning experiences. The book also discusses the potential implications of these advances for language education, including issues related to language standardization, cultural sensitivity, and the role of technology in language learning. With its focus on the intersection of deep learning, language education, and technology, this book is a valuable resource for anyone interested in the future of language acquisition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
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Verlag: Engineering Science Reference, 2021
ISBN 10: 1799883582 ISBN 13: 9781799883586
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book provides insights on how deep learning, together with IOT, will impact various sectors such as healthcare, agriculture, cyber security, and social media analysis applications offering solutions to various real-world problems using these methods from various researchers' point of views'.
Verlag: Engineering Science Reference, 2021
ISBN 10: 1799875113 ISBN 13: 9781799875116
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 282,47
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. Chapters present solutions to various real-world problems using these methods from va.
Verlag: Engineering Science Reference, 2021
ISBN 10: 1799875113 ISBN 13: 9781799875116
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.