Machine Learning in HPC
10 – 11 March 2020
After the course the participants should be able to understand basic principles in Machine Learning and apply basic machine learning methods.
Learn how to efficiently use HPC infrastructures to get
the best performance out of different machine learning tools. How to use these machine learning frameworks like: Tensorflow, PyTorch, Keras, Horovood with hands-on sessions.
Learn using multiple GPUs to significantly shorten the time required to train lots of data, making solving complex problems feasible.
Learn best-practices to avoid common mistakes to efficiently use the HPC infrastracture and overcome the scalability challenges when using parallel computing techniques