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

Abderazek Ben Abdallah, Khanh N. Dang
Neuromorphic Computing Principles and Organization

The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Eac…

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Yongbin Yu, Xiangxiang Wang, Xiao Feng, Jiarun Shen
Memristive Computing

This book delves into a wide array of topics, ranging from memristor and its emulator to chaotic circuits based on memristor, memristor-based en/decryption systems, filter design based on memristive famil…

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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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Yao Ma, Jiliang Tang
Deep Learning on Graphs

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

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Filippo Biscarini, Nelson Nazzicari
Deep Learning for Life Sciences

Decoding Evolution - Band 1

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…

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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…

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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…

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Lei Huang
Normalization Techniques in Deep Learning

Synthesis Lectures on Computer Vision

This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization abil…

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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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Weidong Kuang
Deep Learning

A hands-on and intuitive guide to the foundations of modern deep learningIn Deep Learning: Principles and Implementations, distinguished researcher and professor Weidong "Will" Kuang delivers an…

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Kewei Cheng, Yizhou Sun
Knowledge Graph Reasoning

Synthesis Lectures on Data, Semantics, and Knowledge

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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George Henry Lewes
The Physical Basis of Mind

Reproduction of the original, first published in 1891. Late 19th-century British psychological treatise. A foundational scientific survey evaluating psychophysiology principles, neural network behaviors, …

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George Henry Lewes
The Physical Basis of Mind

Reproduction of the original, first published in 1891. Late 19th-century British psychological treatise. A foundational scientific survey evaluating psychophysiology principles, neural network behaviors, …

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Global Virology IV: Viral Disease Diagnosis and Treatment Delivery in the 21st Century

Details in depth the current novel and future directions of diagnosis, treatment, and analysis of medical problems that relate to virology Provides examples of the practical applications of novel procedur…

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Deep Learning and Visual Artificial Intelligence

Algorithms for Intelligent Systems

This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bika…

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Mark Embrechts, Uwe Kruger
Modern Machine Learning and Transformers

Apply modern AI techniques across science, engineering, and healthcare domainsModern Machine Learning and Transformers began on long walks on New York's Vischer Ferry trail and became an accessible yet ri…

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Hybrid Intelligence: Theories and Applications

Lecture Notes in Networks and Systems - Band 1871

This book presents selected papers from International Conference on Hybrid Intelligence: Theories and Applications (HITA 2025), held in Sri Sri University, Cuttack, Odisha, India during 20 -- 21 November …

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Hybrid Intelligence: Theories and Applications

Lecture Notes in Networks and Systems

This book presents selected papers from International Conference on Hybrid Intelligence: Theories and Applications (HITA 2025), held in Sri Sri University, Cuttack, Odisha, India during 20 -- 21 November …

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Statistical Modeling and Applications

Emerging Topics in Statistics and Biostatistics

In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Sta…

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Active Particles, Volume 4

Modeling and Simulation in Science, Engineering and Technology

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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