Neural Networks – alle Bücher, LPs und CDs, Seite 9

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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Advances in Soft Computing

The two-volume set, LNAI 16221 and 16222, constitutes the proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2025, held in Guanajuato, Mexico, November 3, 2025The 65…

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Marcin Korytkowski
Advanced Techniques of Artificial Intelligence in IT Security Systems

The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing shor…

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Smart Technologies, Systems and Applications

.- Smart Trends and Applications..- Control Design and Validation of Gait Analysis with the Robogait Mobile Robotic Platform..- Use of Virtual Reality and Mixed Reality for Learning Abdominal Biology..- A…

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Yue Song, Thomas Anderson Keller, Nicu Sebe, Max Welling
Structured Representation Learning

This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of …

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Informed Machine Learning

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use case…

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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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Artificial Intelligent Approaches in Petroleum Geosciences

This book presents cutting-edge approaches to solving practical problems faced by professionals in the petroleum industry and geosciences. With various state-of-the-art working examples from experienced a…

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Advances in Soft Computing

The two-volume set, LNAI 16221 and 16222, constitutes the proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2025, held in Guanajuato, Mexico, November 3, 2025The 65…

lieferbar innerhalb 2-3 Wochen

Buch

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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From Human Attention to Computational Attention

The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, inc…

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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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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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Intelligent Systems

.- The Use of Neural Networks Based on the YOLO Architecture to Automatically Determine Indicators of Crop Growth Using Photographs Taken from UAVs..- Residues Control for Perishables in Retail through Dy…

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David Eagleman
Livewired

A revolutionary new understanding of the human brain and its changeable nature.The brain is a dynamic, electric, living forest. It is not rigidly fixed but instead constantly modifies its patterns - adjus…

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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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Encyclopedia of GIS

The first two editions of the encyclopedia are comprehensive in the coverage of established GIS concepts, applications, and platforms. However, the field is growing quickly and there is a need to cover re…

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Mohammad Nauman
Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

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Leonid Berlyand, Pierre-Emmanuel Jabin
Mathematics of Deep Learning

De Gruyter Textbook

This course aims at providing a mathematical perspective to some key elements of the so-called deep neural networks (DNNs). Much of the interest on deep learning has focused on the implementation of DNN-b…

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Jose de Jesus Rubio, Jaime Pacheco, Alejandro Zacarias
Dynamic Models of Energy, Robotic, and Biological Systems

Dynamic models are essential for understanding the system dynamics. It is of importance because one mistake in experiments could cause accidents or damages, while one mistake in the simulation of dynamic …

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