Our online course on high-performance machine learning provides the necessary skills to train neural networks and extract the most relevant information from datasets.
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High-Performance Deep Learning
September 9 @ 9:30 am - September 10 @ 5:00 pm
The first day will focus on basic deep learning knowledge and skills. The second day will focus on training neural networks on high-performance computing clusters.
What?
On day 1 of this course you will:
- Understand the fundamental theories of machine learning and the intuitions/ideas behind the algorithms
- Work with a high-level machine learning API (Keras)
- Explore hyperparameter space to improve a neural network
- Understand the pitfalls of classic machine learning algorithms
On day 2 of this course you will learn:
- How to set up your software environment
- About the technical capabilities of modern day CPUs and GPUs
- How to identify bottlenecks in your code
9th of September: 9:30 – 17:00
10th of September: 9:30 – 17:00
Who?
Everyone interested in getting familiar with machine learning at scale, from the beginning up to more advanced topics
Prerequisites
- Basic knowledge on statistics
- Basic knowledge on linear algebra
- Basic knowledge on Python programming. Some experience with the use of Jupyter Notebooks is desirable, but not essential.
* Basic knowledge on parallel computing is helpful, but not required.
* This workshop will be in English