Trefferliste "Deep Learning-based DSS" - alle Bücher, LPs und CDs

Wir konnten keine exakten Treffer zu Ihrer Suche nach "Deep Learning-based DSS" finden. Könnten diese Produkte zu Ihrer Suche passen?

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

M Martinez-Ramon
Deep Learning: A Practical Introduction

An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete wit…

lieferbar in mind. 4 Wochen

Buch

Ronald T. Kneusel
Practical Deep Learning, 2nd Edition

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…

lieferbar ab 8.7.2025.

Buch

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 software Deep Learning on Embedded Systems is a comprehens…

lieferbar innerhalb 1-2 Wochen

Buch

Deep Ray, Assad A. Oberai, Orazio Pinti
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…

lieferbar innerhalb 2-3 Wochen

Buch

Zekâi ¿En
Shallow and Deep Learning Principles

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least…

lieferbar innerhalb 2-3 Wochen

Buch

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 ab 30.4.2025.

Buch

Deep Learning Theory and Applications

The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during …

lieferbar innerhalb 2-3 Wochen

Buch

Deep Learning Theory and Applications

The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, du…

lieferbar innerhalb 2-3 Wochen

Buch

Yu-Gang Jiang, Zuxuan Wu
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…

lieferbar innerhalb 2-3 Wochen

Buch

Charu C. Aggarwal
Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly import…

lieferbar innerhalb 2-3 Wochen

Buch

Rezvan Mohamadrezaei, Reza Ravanmehr
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 …

lieferbar innerhalb 2-3 Wochen

Buch

Andrew Green
Deep Learning in Quantitative Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analyst…

Erscheint bald

Buch

Jimi Tenor

Multiversum

Jimi Tenor war schon immer so etwas wie ein Renaissance man. Bereits als er seine Heimat Finnland zu Beginn der 1990er Jahre verließ, um zunächst nach New York zu gehen und später quer durch Europa zu zi…

umgehend lieferbar, Bestand beim Lieferanten vorhanden

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…

sofort lieferbar

Buch

Yan Du, Fangxing Li
Deep Learning for Power System Applications

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques i…

lieferbar innerhalb 2-3 Wochen

Buch

Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

lieferbar innerhalb 2-3 Wochen

Buch

Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinform…

lieferbar in mind. 4 Wochen

Buch

Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene r…

lieferbar in mind. 4 Wochen

Buch

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…

lieferbar innerhalb 1-2 Wochen

Buch

Informationen zur Lieferbarkeit bzw. zu Veröffentlichungsterminen von Artikeln beruhen auf Vorabinformationen unserer Lieferanten. Diese Termine sind ohne Gewähr und können sich jederzeit ändern.