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

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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Dubnov Shlomo
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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Dubnov Shlomo
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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Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

lieferbar ab 31.12.2025.

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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 19.12.2025.

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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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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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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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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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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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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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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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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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Stephen Lynch
Dynamical Systems with Applications Using MATLAB®

A Tutorial Introduction to MATLAB.- Linear Discrete Dynamical Systems.- Nonlinear Discrete Dynamical Systems.- Complex Iterative Maps.- Electromagnetic Waves and Optical Resonators.- Fractals and Multifra…

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Tomaso Aste
Probabilistic Data-Driven Modeling

"This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation …

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