Do you want to enhance your R skills, meet other R programmers or ask questions related to R? Take your laptop with you and come to the R Cafe!
During this informal meetup, we will help each other with R programming, data handling and cleaning challenges. If you don’t have an issue, you are also welcome at the R Cafe, just to work on your code, or do learning exercises we prepared for you.
This R Cafe is also open for HU employees.
Theme: Deep Learning in R by Ayoub Bagheri (start 15:30, 45 minutes)
In this R Cafe, Ayoub Bagheri will present an introduction to deep learning in R with the Keras library. Deep learning is a subfield of machine learning: a new take on learning representations from data that puts an emphasis on learning successive of layers increasingly meaningful representations. Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. In this session, we learn the basics of Keras by walking through a simple example: training a neural network to recognize handwritten digits from the MNIST dataset.
Ayoub Bagheri is a PhD candidate at the Methodology and Statistics department. Bagheri is the organizer of the Deep Learning reading group. This month, they start with reading the book Deep Learning in R by François Chollet. Send Ayoub Bagheri to subscribe to their mailing list.
Registration for the R Cafe is not necessary. If you have any questions, please contact Jonathan de Bruin, Data scientist at ITS Research Services and Data Management.