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Introducing DNN primitives in Intel® Math Kernel Library

    Deep Neural Networks (DNNs) are on the cutting edge of the Machine Learning domain. These algorithms received wide industry adoption in the late 1990s and were initially applied to tasks such as handwriting recognition on bank checks. Deep Neural Networks have been widely successful in this task, matching and even exceeding human capabilities. Today DNNs have been used for image recognition and video and natural language processing, as well as in solving complex visual understanding problems such as autonomous driving.

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  • Profissional
  • Professores
  • Estudantes
  • Linux*
  • Unix*
  • Inteligência Artificial
  • C/C++
  • Avançado
  • Biblioteca kernel de matemática Intel®
  • MPI (Message Passing Interface - Interface de transferência de mensagens)
  • OpenMP*
  • Big Data
  • Computação em nuvem
  • Centro de dados
  • Arquitetura Intel® Many Integrated Core
  • Código aberto
  • Otimização
  • Computação paralela
  • Eficiência energética
  • Machine Learning
  • Intel® Distribution for Python 2017 Update 1 Readme

    Intel® Distribution for Python powered by Anaconda gives you ready access to tools and techniques for high performance to supercharge all your Python applications on modern Intel platforms. Whether you are a seasoned high-performance developer or a data scientist looking to speed up your workflows, the Intel Distribution for Python powered by Anaconda delivers an easy-to-install, performance-optimized Python experience to meet even your most demanding requirements.

  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Parallel Studio XE Cluster Edition
  • Intel® Parallel Studio XE 2017 Update 1 Readme

    Deliver top application performance and reliability with Intel® Parallel Studio XE 2017. This C++ and Fortran software development suite simplifies the design, build, debug, and tune of applications that take advantage of scalable MPI, thread and vector parallel processing to boost application performance.
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Parallel Studio XE Cluster Edition
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