Fundamentals of Deep Learning for Multi-GPUs (Day 2)

Note: By registering for Day 1 you will automatically be registered for Day 2. You cannot register for Day 2. This page is a placeholder. This workshop teaches you techniques for training deep neural networks on multi-GPU technology 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 concepts for implementing PyTorch multi-GPUs to reduce the complexity of writing efficient distributed software and to maintain accuracy when training a model across many GPUs. Workshop format: Interactive presentation with hands-on exercises Target audience: This workshop is intended for researchers that would like to use multiple GPUs to train deep learning models in PyTorch. Knowledge prerequisites: Participants should be comfortable with training deep learning models using a single GPU.