1.

Record Nr.

UNINA9910796856103321

Autore

Junod Philippe

Titolo

Counterpoints : dialogues between music and the visual arts / / Philippe Junod ; translation by Saskia Brown

Pubbl/distr/stampa

London, UK : , : Reaktion Books Ltd, , 2017

ISBN

1-78023-859-2

Descrizione fisica

1 online resource (317 pages) : illustrations

Disciplina

780.1

Soggetti

Music - Philosophy and aesthetics

Art and music

Painting - Philosophy

Multimedia (Art)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910760290003321

Autore

Singaram Jayakumar

Titolo

Deep Learning Networks : Design, Development and Deployment / / by Jayakumar Singaram, S. S. Iyengar, Azad M. Madni

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

3-031-39244-2

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (173 pages)

Collana

Engineering Series

Altri autori (Persone)

IyengarS. S

MadniAzad M

Disciplina

621.382

Soggetti

Telecommunication

Machine learning

Computational intelligence

Pattern recognition systems

Communications Engineering, Networks

Machine Learning

Computational Intelligence

Automated Pattern Recognition

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Deep Learning -- Brief survey on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) -- Tool Set for Deep Learning Applications -- Data-Set Design and Data Labeling -- DL Model: Design and Development -- Training and Testing of DL Model -- Deploying DL in Jetson Nano -- Deploying DL in Android Phone -- Deploying DL in Ultra96-V2 Field Programmable Gate Array (FPGA) -- Conclusion.

Sommario/riassunto

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 learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the



reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.