||Deep Learning as a Service (DLaaS)
||Dr. Mark Hoogendoorn, Vrije Universiteit Amsterdam (VU)
||Prof.dr.ir. Henri Bal (VU), Prof.dr. Rob van Nieuwpoor (UvA/NLeSC), Dr. Cees Snoek (UvA), and Dr.ir. Sander Stuijk (TU/e)
||ING-bank, Semiotics Labs, Schiphol, Océ, SURFsara, Mobiquity
||Tooling to improve the usability and efficiency of deep learning for third-parties. Several demonstrators will show how to exploit DL as a Service
||P1 addresses four main data efficient DL approaches:
- It develops a more easily usable service for applying deep learning as an extension to existing libraries that is able to run DL approaches more efficiently.
- The service in addition offers efficient DL approaches to cope with a lack of labels.
- The approaches allow users to gain insights into the DL networks and configurations.
- The service embeds DL approaches that can cope better with temporal high frequency