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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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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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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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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…

lieferbar ab 30.7.2025.

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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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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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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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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 12.8.2025.

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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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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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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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Foundations of Intelligent Systems

This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024.The 18 full papers, 6 short papers an…

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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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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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Grigory Sapunov
Deep Learning with JAX

From the back cover:Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, an …

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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 …

lieferbar ab 10.7.2025.

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