Horovod Training Courses

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Horovod Training Courses

Онлайн или на място, водени от инструктори обучителни курсове на Horovod на живо демонстрират чрез интерактивна практическа практика как да използвате Horovod за провеждане на разпределени обучения за задълбочено обучение и да го мащабирате, за да работите на множество GPU паралелно. Обучението Horovod се предлага като „онлайн обучение на живо“ или „обучение на живо на място“. Онлайн обучението на живо (известно още като „дистанционно обучение на живо“) се извършва чрез интерактивен отдалечен работен плот . Обучението на живо на място може да се проведе локално в помещенията на клиента в България или в корпоративните центрове за обучение на NobleProg в България. NobleProg -- Вашият местен доставчик на обучение

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Horovod Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед

Разпределено дълбоко обучение с Horovod

7 hours
Horovod is an open source software framework, designed for processing fast and efficient distributed deep learning models using TensorFlow, Keras, PyTorch, and Apache MXNet. It can scale up a single-GPU training script to run on multiple GPUs or hosts with minimal code changes. This instructor-led, live training (online or onsite) is aimed at developers or data scientists who wish to use Horovod to run distributed deep learning trainings and scale it up to run across multiple GPUs in parallel. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start running deep learning trainings.
  • Install and configure Horovod to train models with TensorFlow, Keras, PyTorch, and Apache MXNet.
  • Scale deep learning training with Horovod to run on multiple GPUs.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This course is focused on Horovod, but other software tools and frameworks such as TensorFlow, Keras, PyTorch, and Apache MXNet may be required. Please let us know if you have specific requirements or preferences.
  • To request a customized training for this course, please contact us to arrange.

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