Op werkdagen voor 23:00 besteld, morgen in huis Gratis verzending vanaf €20
, , , , e.a.

Deep Learning for Computer Architects

Paperback Engels 2017 9783031006289
Verwachte levertijd ongeveer 8 werkdagen

Samenvatting

Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance computer hardware.

This text serves as a primer for computer architects in a new and rapidly evolving field. We review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that emerged in the last decade. Next we review representative workloads, including the most commonly used datasets and seminal networks across a variety of domains. In addition to discussing the workloads themselves, we also detail the most popular deep learning tools and show how aspiring practitioners can use the tools with the workloads to characterize and optimize DNNs.

The remainder of the book is dedicated to the design and optimization of hardware and architectures for machine learning. As high-performance hardware was so instrumental in the success of machine learning becoming a practical solution, this chapter recounts a variety of optimizations proposed recently to further improve future designs. Finally, we present a review of recent research published in the area as well as a taxonomy to help readers understand how various contributions fall in context.

Specificaties

ISBN13:9783031006289
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Hoofdrubriek:

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Geef uw waardering

Zeer goed Goed Voldoende Matig Slecht

Inhoudsopgave

Preface.- Introduction.- Foundations of Deep Learning.- Methods and Models.- Neural Network Accelerator Optimization: A Case Study.- A Literature Survey and Review.- Conclusion.- Bibliography.- Authors' Biographies.

Managementboek Top 100

Rubrieken

Populaire producten

    Personen

      Trefwoorden

        Deep Learning for Computer Architects