Neural Network – alle Bücher, LPs und CDs, Seite 6

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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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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Yosef Grodzinsky
How Deeply Human Is Language?

An explanation of linguistic theory and large language models---the top contenders for understanding human language---in the context of the brain, from a leading neurolinguist.Contemporary linguistics, fo…

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Advanced Technologies in Vascular Neurosurgery

For the first time in the history of medicine, advances in technology have outpaced our ability to apply them in the clinical setting. With the likelihood of rapid change in the healthcare arena, a more c…

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Modern Artificial Intelligence Based on Soft Computing Techniques

This book describes what we can call modern artificial intelligence that includes the theoretical developments and applications of soft computing techniques. Soft computing includes fuzzy logic, neural ne…

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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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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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George Katsogiannis-Meimarakis, Anna Mitsopoulou, Mike Xydas, Georgia Koutrika
Natural Language Interfaces for Databases with Deep Learning

This book covers the main research areas that aim to bridge the world of databases and SQL with the world of natural language. It provides a comprehensive coverage of the most influential work in the fiel…

lieferbar ab 2.11.2025.

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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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Azhar Ul Haque Sario
Climate Algorithmic Edge

Imagine a world where AI sharpens our fight against climate change-this is the heart of Climate Algorithmic Edge. Picture this: a journey kicking off in the 1950s with NOAA's clunky computers crunching we…

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Testament

Titans Of Creation

Product Information The time has arrived for Testament to unleash new thunder to the masses and reveal their thirteenth studio album: Titans Of Creation. Just as the elements of this planet thrive withi…

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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics…

lieferbar ab 17.10.2025.

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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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Du¿an Stipanovi¿
Difference Equations and Machine Learning

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

lieferbar ab 5.11.2025.

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Dongmian Zou Shlomo Dubnov
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Dongmian Zou Shlomo Dubnov
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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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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Fangxing Li, Yan Du
Deep Learning for Power System Applications

Introduction-A Brief History of Deep Learning and Its Applications in Power Systems.- Deep Neural Network for Microgrid Management.- Deep Convolutional Neural Network for Power System N-1 Contingency Scre…

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Machine Learning in Modeling and Simulation

Machine Learning in Computer-Aided Engineering.- Artificial Neural Networks.- Gaussian Processes.- Machine Learning Methods for Constructing Dynamic Models from Data.- Physics-Informed Neural Networks: Th…

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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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