Learn about Deep Learning Optimization with IBM

On May 24th, Romeo Kienzler, Chief Data Scientist at IBM, will give a very interesting masterclass about how neural network training works and how it can be parallelized on large scale GPU clusters using inter-model, intra-model, data and pipelined parallelism. Using Python and Tensorflow, you will get hands-on experience with these techniques. 

Make sure to bring your own laptop and charger, we will ensure there are enough power sockets.

Prior Knowledge

For this masterclass, basic knowledge about linear algebra and intermediate programming skills, preferably in Python, are required.

In addition, you will need an account on Coursera, which can be obtained as follows:

➡️ Take the Applied AI Challenge on to obtain the Coursera promocode.

➡️ Register for an account on coursera.org. Here you can create a cloud account. (e.g. using nopanic.ai/coursera)

Date: 24-05-2019
Time: 12:30 – 18:00
Location: TU/e innocation Space, Het Kranenveld 12, Eindhoven