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Rune Glerup (geb. 1981)

Streichquartett Nr.2 op.19 "Perhaps thus the End"

Jonas Frölund, Quatuor Diotima

Deeper Learning in der Hochschuldidaktik

Deeper Learning beschreibt eine innovative Pädagogik, die Lernende von passiven Wissensempfängern zu aktiv-handelnden Gestaltern in ihrem (über-)fachlichen Kompetenz- und Wissenserwerb führt. Kommunikatio…

Joe South: Golden Records 1961 - 1966

Dyssidia

Deeper Wells of Meaning

Dyssidia

Deeper Wells of Meaning

Roland Schwaiger, Joachim Steinwendner

Neuronale Netze programmieren mit Python

Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die gen…

Bert Gollnick

PyTorch

PyTorch-Programmierung professionell! Das meistgenutzte Deep-Learning-Framework in der Praxis: Lernen Sie für spezifische Aufgaben aus realen Projektszenarien, wie Sie mit PyTorch KI-Modelle trainieren, o…

Terrence Sejnowski

The Deep Learning Revolution

How deep learning---from Google Translate to driverless cars to personal cognitive assistants---is changing our lives and transforming every sector of the economy.The deep learning revolution has brought …

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…

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…

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…

Tanvir Islam

Hands-on Deep Learning

This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning. The book is particularly useful for professionals in industries w…

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.

Machine Learning, Deep Learning, and Blockchain

This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28--29, 202…

Jayakumar Singaram, S. S. Iyengar, Azad M. Madni

Deep Learning Networks

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learni…

Zhe Wang, Chao Pu, Felice Wang

Deep Learning Recommender Systems

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to g…

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…

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…

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…