Flexible and Scalable Deep Learning with MMLSpark

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park. Flexible and Scalable Deep Learning with MMLSpark. In Claire Hardgrove, Louis Dorard, Keiran Thompson, editors, 4th International Conference on Predictive Applications and APIs, PAPIs 2017, Boston, MA, USA, October 24-25, 2017. Volume 82 of Proceedings of Machine Learning Research, pages 11-22, PMLR, 2017. [doi]

@inproceedings{HamiltonRAKLBMD17,
  title = {Flexible and Scalable Deep Learning with MMLSpark},
  author = {Mark Hamilton and Sudarshan Raghunathan and Akshaya Annavajhala and Danil Kirsanov and Eduardo de Leon and Eli Barzilay and Ilya Matiach and Joe Davison and Maureen Busch and Miruna Oprescu and Ratan Sur and Roope Astala and Tong Wen and ChangYoung Park},
  year = {2017},
  url = {http://proceedings.mlr.press/v82/hamilton18a.html},
  researchr = {https://researchr.org/publication/HamiltonRAKLBMD17},
  cites = {0},
  citedby = {0},
  pages = {11-22},
  booktitle = {4th International Conference on Predictive Applications and APIs, PAPIs 2017, Boston, MA, USA, October 24-25, 2017},
  editor = {Claire Hardgrove and Louis Dorard and Keiran Thompson},
  volume = {82},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}