Deep Learning For Super – alle Bücher und CDs

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Country & Southern Rock

CD 1: Gin Blossoms / CD 2: coal / CD 3 Steve Fister *** 3 Jewelcases im Hardcoverschuber

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3 CDs

Charles Ravarani, Natasha Latysheva
Deep Learning for Biology

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning…

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Buch

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…

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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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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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Buch

Gang Liu, Eric Inae, Meng Jiang
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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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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Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

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Deep Learning for Multi-Sensor Earth Observation

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontie…

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Buch

George Katsogiannis-Meimarakis, Anna Mitsopoulou, Mike Xydas, Georgia Koutrika
Natural Language Interfaces for Databases with Deep Learning

Natural Language Interfaces to Databases.- 2. Translating Natural Language Questions to SQL.- 3. Text-to-SQL Architecture.- 4. Text-to-SQL Systems.- 5. Describing SQL Queries in Natural Language.- 6. Mult…

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Buch

Yen-Wei Chen, Lanfen Lin, Rahul Kumar Jain
Recent Advances in Deep Learning for Medical Image Analysis

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In r…

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Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

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Buch

Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Buch

Patrick Klein
Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

If a manufacturing company's main goal is to sell products profitably, protecting production systems from defects is essential and has led to vast documentation and expert knowledge. Industry 4.0 has faci…

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Juliane Blarr
Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images

Discontinuously fiber reinforced polymers exhibit complex microstructures. Quantities to characterize the latter have been developed over time, such as the fiber volume content or fiber orientation distri…

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