Neural Networks – alle Bücher, LPs und CDs, Seite 5

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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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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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 7.9.2025.

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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 2.10.2025.

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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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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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Filippo Biscarini, Nelson Nazzicari
Deep Learning for Life Sciences

Artificial intelligence is already ubiquitous in the life sciences, from cancer diagnosis to medical image analysis, from precision agriculture to wildlife monitoring. It is therefore essential for any sc…

lieferbar ab 17.9.2025.

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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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Advances in Computational Vision and Robotics

Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles fro…

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Lori Drucker Wasserman, Theodore Wasserman
Disorders of Attention

This is the fourth book in the Neural Network series. It proposes an entirely new model for assessing and understanding how issues with attention are manifested. Currently, most individuals with deficit i…

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Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg
Deep Learning Crash Course

A complete guide to deep neural networks -- the technology behind AI -- covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyon…

lieferbar ab 6.1.2026.

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Smart Innovations in Energy and Mechanical Systems

This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuabl…

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Advances in Neural Computation, Machine Learning, and Cognitive Research VIII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

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GANs for Data Augmentation in Healthcare

Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magn…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Advances in Neural Computation, Machine Learning, and Cognitive Research VII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

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Biomimetic and Biohybrid Systems

This proceeding constitutes the 13th International Conference on Biomimetic and Biohybrid Systems, held in Chicago, IL, USA, during July 8-11, 2024.The 27 full papers and 4 short papers were carefully rev…

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Yizhou Sun, Kewei Cheng
Knowledge Graph Reasoning

This book provides a coherent and unifying view for logic and representation learning to contribute to knowledge graph (KG) reasoning and produce better computational tools for integrating both worlds. To…

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