Deep Learning-based DSS – alle Bücher, LPs und CDs, Seite 2

Lasha Abzianidze, Lisa Bylinina, Denis Paperno
Semantics and Deep Learning

This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compos…

lieferbar innerhalb 2-3 Wochen

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Lasha Abzianidze, Lisa Bylinina, Denis Paperno
Semantics and Deep Learning

This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compos…

lieferbar innerhalb 2-3 Wochen

Buch

Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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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 15.1.2026.

Buch

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 28.1.2026.

Buch

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

Zhijin Qin
Deep Learning Enabled Semantic Communications

Comprehensive overview of the principles, theories, and techniques behind deep learning enabled semantic communicationsDeep Learning Enabled Semantic Communications explores the synergy between deep learn…

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Deep Learning in Drug Design

Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, …

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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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Zuxuan Wu, Yu-Gang Jiang
Deep Learning for Video Understanding

This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spati…

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Tariq M Arif
Deep Learning on Embedded Systems

Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available softwareDeep Learning on Embedded Systems is a comprehensi…

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Gang Liu, Meng Jiang, Eric Inae
Deep Learning for Polymer Discovery

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges…

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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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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

Computational Mechanics Meets Arti¿cial Intelligence.- Neural Networks.- Machine Learning in Computational Mechanics.- Methodological Overview of Deep Learning in Computational Mechanics.- Index.

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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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Buch

Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

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Deep Ray, Orazio Pinti, Assad A. Oberai
Deep Learning and Computational Physics

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

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Deep Learning Theory and Applications

.- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition..- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles..- A Fast Fourier Transform-Aided D…

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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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