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.
