Description

This workshop delivers a set of technical key principles when structuring Deep Learning projects based on the complexity of data, task and algorithm. We will look at training models in different scenarios and how simple code examples translate to real-world applications. The workshop is designed for both, an engineering and non-engineering audience, giving insights on how to spot opportunities in AI by understanding the potential and the limitations of Deep Learning.