Intel Artificial Intelligence Workshop
|Date:||Thursday, April 11, 2019, 9:00-17:00|
|Location:||LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Hörsaal|
The workshop will highlight the usage of Intel's optimized performance libraries underneath popular machine learning frameworks. It includes hands-on sessions around classical machine learning as well as deep learning on HPC systems. Besides introducing the transparent usage of performance libraries, the focus will be to empower participants to scale their deep learning (TensorFlow) application training on distributed HPC systems. The hands-on examples are written in Python.
2) Overview Machine Learning / Deep Learning
3) Classic Machine Learning Tools
1. Intel performance Libraries - MKL & DAAL
4) Deep Learning Tools
1. Intel performance Libraries - MKL-DNN & MLSL
The course requires participants to have some prior experience with Python and SSH (if in doubt, for the latter please attend Introduction to the LRZ Supercomputing and Machine Learning Infrastructure).
|Instructors:||Michael Steyer, Fabio Baruffa (Intel), J. Albert-von der Gönna, D. Brayford (LRZ)|
|Registration:||Via the LRZ registration form. Please choose course HIAI1S19.|
If you attended this course, please don't forget to rate it. We highly appreciate your feedback: