Deep learning in the cloud with MXNet

October 19, 2016
By

(This article was first published on R snippets, and kindly contributed to R-bloggers)

Last Friday together with Przemysław Szufel and Wit Jakuczun we were giving a live demo on introduction to deep learning at Digital Champions conference.

The objective of the workshop was to show how to build a simple predictive model using MXNet library in a few minutes. In the example, we train a model on GPUs using a standard MNIST database of handwritten digits.

Our post-presentation thoughts are that many people did not have experience with using GPUs in the cloud. Our point is that it is actually simpler and cheaper than having the infrastructure on-premises. Running of the whole tutorial cost us under 1$. Using bitfusion.io Scientific Computing AMI we were able to painlessly get the whole computing environment running on AWS in a few minutes.

On GitHub you can find the instructions how to set up computations in the cloud and the R source code allowing to build the model using MXNnet.

To leave a comment for the author, please follow the link and comment on their blog: R snippets.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)