Deep learning is a fast growing subset of machine learning.
Ziya Ma, Vice President of Big Data at Intel, sits down with Dave Vellante & George Gilbert at Spark Summit East 2017 at the Hynes Convention Center in Bosto
In this episode of the Data Show, O'Reilly Radar spoke with Jason Dai, CTO of big data technologies at Intel, and co-chair of Strata + Hadoop World Beijing.
Tech -Talk-1: Distributed Deep Learning At Scale on Apache Spark* with BigDL Databricks:
See how an improvement to the L-BFGS algorithm takes advantage of progressive batching, line search, and quasi-Newton updating.
This paper introduces a new neural network architecture and shows how improvements to a Cycle-GAN significantly reduces training time for translating images across domains.
Learn more about an award-wining method that uses noise unnoticeable to humans to confuse neural networks into making enormous mistakes.
A new test shows that some of the best state-of-the-art natural language models fail by changing even just a few words.
This research paper introduces DSOD, a framework that outperforms modern variations of regional proposal and classification networks.
This research shows how training low-bit deep neural networks has a much smaller memory footprint than full-precision models but with a small cost to accuracy.