Christian Hundt
Christian is a theoretical physicist by training and holds a PhD in computer science with a passion for group theory, differential geometry, and massively parallel computing. In his current role as manager for AI Developer Technology he leads a team of dynamic and gifted engineers optimizing computational primitives for Deep Learning as well as scaling out end-to-end pipelines for a broad variety of scientific domains.
Sessions
12-02
12:00
30min
Machine Learning Frameworks Interoperability
Christian Hundt, Miguel MartÃnez
To develop mature data science, machine learning, and deep learning applications, one must develop a large number of pipeline components, such as data loading, feature extraction, and frequently a multitude of machine learning models.
Talk Track I