In this course we will provide an overview of end-to-end deep learning with the latest version of Tensorflow/Keras.
It will cover the basic concepts to define models with Keras and data pipelines with Tensorflow’s „Dataset“, and to visualize the results with Tensorboard while training. If training on one node or GPU is not enough, we will show how to scale up/out distributed training onto multiple compute nodes and GPUs with Horovod. Furthermore, we will introduce scikit-learn, with an overview of different machine learning algorithms it provides and how to utilize them on GPUs with H2O4GPU. The training course will consist of hands-on exercises to be run directly on IT4I's infrastructure.
Level - beginner
Language - English
Prerequisites
- Understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays.
Tutor: Georg Zitzlsberger
Other information about the course
Obligatory registration via the PRACE Events Portal and its registration form. Please use your institution's email address to register.
This training will be an online event. Technical details about joining will be sent to the accepted registrants before the event.
All participants will receive access to the IT4Innovations' infrastructure prior to the event.
The capacity is limited to 30 participants. The course is free of charge for all participants.
