Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Robert Nishihara

Robert Nishihara
Graduate Student, University of California, Berkeley

Website | @robertnishihara

Robert Nishihara is a fourth-year PhD student working in the University of California, Berkeley, RISELab with Michael Jordan. He works on machine learning, optimization, and artificial intelligence.


11:00am–11:40am Wednesday, 03/30/2016
Spark & Beyond

Location: LL20 A
Robert Nishihara (University of California, Berkeley)
Average rating: ****.
(4.59, 17 ratings)
Robert Nishihara offers an overview of SparkNet, a framework for training deep networks in Spark using existing deep learning libraries (such as Caffe) for the backend. SparkNet gets an order of magnitude speedup from distributed training relative to Caffe on a single GPU, even in the regime in which communication is extremely expensive. Read more.