Neural Networks – alle Bücher, LPs und CDs, Seite 4 online kaufen

Artificial Intelligence and Soft Computing

The two-volume set ICAISC 2024 15164, 15165 and 15166 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024, held in Zakopane…

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Applied AI Techniques in the Process Industry

Thorough discussion of data-driven and first principles models for energy-relevant systems and processes, approached through various in-depth case studiesApplied AI Techniques in the Process Industry iden…

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Computer Vision - ECCV 2024

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during Se…

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Artificial Intelligence and Applications

This book constitutes the proceedings of the 26th International Conference on Artificial Intelligence and Applications, ICAI 2024, held as part of the 2024 World Congress in Computer Science, Computer Eng…

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Omar Hijab
Math for Data Science

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer scienc…

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Linguistic Resources for Natural Language Processing

Empirical - data-driven, neural network-based, probabilistic, and statistical - methods seem to be the modern trend. Recently, OpenAI's ChatGPT, Google's Bard and Microsoft's Sydney chatbots have been gar…

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Ali Safa, Francky Catthoor, Georges Gielen, Lars Keuninckx
Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems

This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigatio…

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Joseph Awange, Lajos Völgyesi, Béla Paláncz
Hybrid Imaging and Visualization

This second edition of the book that targets those in computer algebra and artificial intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in ma…

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Applications of Artificial Intelligence in Common Dermatological Diseases

This book is first authoritative and comprehensive volume that dedicated to the role of artificial intelligence in common dermatological diseases. This book provides up to date and highly illustrated syno…

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Ronald T. Kneusel
Math for Programming

A one-stop-shop for all the math you should have learned for your programming career.Every great programming challenge has mathematical principles at its heart. Whether you're optimizing search algorithms…

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Rezvan Mohamadrezaei, Reza Ravanmehr
Session-Based Recommender Systems Using Deep Learning

This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many …

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Andrew Green
Deep Learning in Quantitative Finance

The complete and practical guide to one of the hottest topics in quantitative financeDeep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts…

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Zekâi ¿En
Shallow and Deep Learning Principles

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least…

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Ambush

Desecrator (Splatter Vinyl)

Im August 2013 veröffentlichten Oskar Jacobsson (Vocals), Olof Engkvist (Gitarre), Adam Hagelin (Gitarre), Ludwig Sjöholm (Bass) sowie Linus Fritzson (Drums) ein erstes Demo ihrer Band Ambush. Die folgend…

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Ambush

Desecrator (Slipcase)

Im August 2013 veröffentlichten Oskar Jacobsson (Vocals), Olof Engkvist (Gitarre), Adam Hagelin (Gitarre), Ludwig Sjöholm (Bass) sowie Linus Fritzson (Drums) ein erstes Demo ihrer Band Ambush. Die folgend…

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Reinhard Heckel
Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusse…

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Andrew T. C. Sutton
Domain Generalization with Machine Learning in the NOvA Experiment

This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or…

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Khanh N. Dang, Abderazek Ben Abdallah
Neuromorphic Computing Principles and Organization

The second edition of Neuromorphic Computing Principles and Organizationdelves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each…

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Taeho Jo
Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

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Yan Du, Fangxing Li
Deep Learning for Power System Applications

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques i…

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