AWS Open Source Blog
Author: Qing Lan
Qing is a Software Development Engineer in the AWS Deep Learning Toolkits team. He is one of the co-authors of DJL (djl.ai) and PPMC member of Apache MXNet. He graduated from Columbia University in 2017 with a MS degree in Computer Engineering and has worked on model training and inference.
Leverage deep learning in Scala with GPU on Spark 3.0
This post was contributed by Qing Lan, Carol McDonald, and Kong Zhao. With the growing interest in deep learning (DL), more users are using DL in their production environments. Because DL requires intensive computational power, developers are leveraging GPUs to do their training and inference jobs. As part of a major Apache Spark initiative to […]
How TalkingData uses AWS open source Deep Java Library with Apache Spark for machine learning inference at scale
This post is contributed by Xiaoyan Zhang, a Data Scientist from TalkingData. TalkingData is a data intelligence service provider that offers data products and services to provide businesses insights on consumer behavior, preferences, and trends. One of TalkingData’s core services is leveraging machine learning and deep learning models to predict consumer behaviors (e.g., likelihood of […]