Deep Neural Network – alle Bücher

Weidong Kuang, Heidi 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…

lieferbar ab 4.2.2026.

Buch

Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann
Deep Learning with Pytorch, Second Edition

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models.Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insight…

lieferbar ab 27.1.2026.

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Deep Learning Meets FPGA

A practical guide to the use of FPGAs for deep learning and its real-world applications in signal processingIn Deep Learning Meets FPGA, a team of distinguished researchers delivers an expert discussion o…

lieferbar ab 10.6.2026.

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Ronald T. Kneusel
Practical Deep Learning

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as de…

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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 innerhalb 1-2 Wochen

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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 …

lieferbar innerhalb 2-3 Wochen

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Advances in Data Science

This volume features recent advances in data science ranging from algebraic geometry used for existence and uniqueness proofs of low rank approximations for tensor data, to category theory used for natura…

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General Audio Signal Processing with Deep Learning

Dive into the cutting-edge integration of deep learning with audio signal processing in this authoritative guide. Designed for audio engineers, data scientists, and tech enthusiasts, this book demystifies…

lieferbar ab 18.2.2026.

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Agents and Artificial Intelligence

.- Artificial Intelligence..- Deep Neural Networks for Early Human Embryo Stages Detection in Time Lapse Sequences..- Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs..- Combining Mo…

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The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain---fields that are transforming industries today. Written by leading exper…

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Pan-African Artificial Intelligence and Smart Systems

.- Artificial Intelligence Theory and Methods..- Scalable XAI: Towards Explainable Machine Learning Models in Distributed Systems..- An Ensemble of Yolov5 Models in Real-time Object Detection in Low Resou…

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Progress in Artificial Intelligence

.- Artificial Intelligence in Medicine (AIM)..- AI-Driven Mobile Solution for Early Detection and Management of Diabetic Foot Ulcers..- Deep neural networks to the detection of lumbar hernias: methodology…

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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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Detection of Intrusions and Malware, and Vulnerability Assessment

.- AI/ML & Security..- Towards Explainable Drift Detection and Early Retrain in ML-based Malware Detection Pipelines..- InferONNX: Practical and Privacy-preserving Machine Learning Inference using Tru…

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

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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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.

Buch

Frederic Ros, Rabia Riad
Feature and Dimensionality Reduction for Clustering with Deep Learning

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to …

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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…

lieferbar ab 27.4.2026.

Buch

Reza Ravanmehr, Rezvan Mohamadrezaei
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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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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