Detail publikace

Hardware and Software Optimizations for Capsule Networks

MARCHISIO, A. BUSSOLINO, B. COLUCCI, A. MRÁZEK, V. HANIF, M. MARTINA, M. MASERA, G. SHAFIQUE, M.

Originální název

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

Among advanced Deep Neural Network models, Capsule Networks (CapsNets) have shown high learning and generalization capabilities for advanced tasks. Their capability to learn hierarchical information of features makes them appealing in many applications. However, their compute-intensive nature poses several challenges for their deployment on resource-constrained devices. This chapter provides an optimization flow at the software and at the hardware level for improving the energy efficiency of the CapsNets' execution.

Klíčová slova

capsule networks, hardware, software, neural architecture search

Autoři

MARCHISIO, A.; BUSSOLINO, B.; COLUCCI, A.; MRÁZEK, V.; HANIF, M.; MARTINA, M.; MASERA, G.; SHAFIQUE, M.

Vydáno

1. 1. 2023

Nakladatel

Springer Nature Switzerland AG

Místo

Cham

ISBN

978-3-031-39932-9

Kniha

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Strany od

303

Strany do

328

Strany počet

BibTex

@inbook{BUT193587,
  author="MARCHISIO, A. and BUSSOLINO, B. and COLUCCI, A. and MRÁZEK, V. and HANIF, M. and MARTINA, M. and MASERA, G. and SHAFIQUE, M.",
  title="Hardware and Software Optimizations for Capsule Networks",
  booktitle="Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing",
  year="2023",
  publisher="Springer Nature Switzerland AG",
  address="Cham",
  pages="303--328",
  doi="10.1007/978-3-031-39932-9\{_}12",
  isbn="978-3-031-39932-9"
}