Date: April 25th, 2018
Time: 11:00AM EDT
Webinar Description: TensorFlow is an open-source software library for numerical computation using data flow graphs. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. In this talk we'll cover the R interface to TensorFlow (https://tensorflow.rstudio.com), a suite of packages that provide high-level interfaces to both deep learning models (Keras) and standard regression and classification models (Estimators), as well as tools for cloud training, experiment management, and production deployment.
Logistics: Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.
Training your TensorFlow models in the cloud Webinar Registration:
Andrie de Vries, Solutions Engineer - Andrie started using R in 2009 for market research statistics. He is a regular contributor to StackOverflow and co-author of “R for Dummies”. He contributed several R packages to CRAN, including miniCRAN, checkpoint, ggdendro, sss, and surveydata, and regularly speaks at industry events and R user groups. He is a qualified yoga teacher, and continues to study yoga therapy annually in Chennai, India
Webinar Recordings: We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/
Slides & Code:
We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars