Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (DPHTDLM)

 

Course Overview

This workshop teaches you techniques for data-parallel deep learning training on multiple GPUs to shorten the training time required for data-intensive applications. Working with deep learning tools, frameworks, and workflows to perform neural network training, you’ll learn how to decrease model training time by distributing data to multiple GPUs, while retaining the accuracy of training on a single GPU.

Pré- requisitos

Experience with deep learning training using Python

Objetivos do Curso

By participating in this workshop, you’ll:

  • Understand how data parallel deep learning training is performed using multiple GPUs
  • Achieve maximum throughput when training, for the best use of multiple GPUs
  • Distribute training to multiple GPUs using Pytorch Distributed Data Parallel
  • Understand and utilize algorithmic considerations specific to multi-GPU training performance and accuracy

Follow On Courses

Preços & Delivery methods

Treinamento online

Duração
1 dia

Preço
  • Solicitar orçamento
Classroom training

Duração
1 dia

Preço
  • Solicitar orçamento

Click on town name or "Online Training" to book Agenda

Instructor-led Online Training:   Este é um curso Instructor-Led Online. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.

Estados Unidos

Treinamento online 07:30 Pacific Daylight Time (PDT) Este curso está sendo entregue por um parceiro Inscrever