Video description
Explanation of distributed gradient descent with an algorithm Horovod using multivariate linear regression in PyTorch and Python.About the Technology
About the Video
What's Inside
About the Reader
About the Author
Enter info about author
Quotes
Table of contents
Product information
- Title: Understanding Horovod for Distributed Gradient Descent in PyTorch
- Author(s):
- Release date: December 2020
- Publisher(s): Manning Publications
- ISBN: 10000MNHV2022119
You might also like
video
NLP in Action: Attention mechanism and upgrading TorchText 0.9
Hobson Lane updates Chapter 12 PyTorch examples for training an encoder-decoder to translate between English and …
video
Automatic Differentiation in Python and PyTorch
Discover automatic differentiation with PyTorch Autograd for deep learning.
book
Data Processing with Optimus
Written by the core Optimus team, this comprehensive guide will help you to understand how Optimus …
video
Helping Humans At Scale: Continuous Delivery of Hugo on AWS
Learn to use Hugo a popular Go-based content management system to deploy global-scale websites on AWS. …
