December 27, 2019

199 words 1 min read

Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark

Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark

Jason Dai, Yuhao Yang, Jennie Wang, and Guoqiong Song explain how to build and productionize deep learning applications for big data with Analytics Zooa unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipelineusing real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA.

Talk Title Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark
Speakers Jason Dai (Intel), Yuhao Yang (Intel), Jiao(Jennie) Wang (Intel), Guoqiong Song (Intel)
Conference Strata Data Conference
Conf Tag Big Data Expo
Location San Francisco, California
Date March 26-28, 2019
URL Talk Page
Slides Talk Slides
Video

Analytics Zoo provides a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. The entire pipeline can then transparently scale out to a large Hadoop/Spark cluster for distributed training or inference. Jason Dai, Yuhao Yang, Jennie Wang, and Guoqiong Song explain how to build and productionize deep learning applications for big data (transfer learning-based image classification, sequence-to-sequence prediction for precipitation nowcasting, neural collaborative filtering for recommendations, unsupervised time series anomaly detection, etc.) with Analytics Zoo, using real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA.

comments powered by Disqus