字幕表 動画を再生する 英語字幕をプリント Hi, I'm David Shaw, in this episode of AI News, you will learn how to install and build in MXNet with Intel MKL. You will get new insights about bigDL and learn how to get started with the machine learning scaling library. See the links below to learn more. MXNet can be installed and used with the combination of development tools and libraries on different platforms. This tutorial provides steps to build and install and MXNet with Intel MKL 2017 on CentOS and Ubuntu based systems. The article also provides information about the basic requirements needed for running MXNet, using it with GPUs and support for computer vision and image augmentation. BigDL is a distributed deep learning library for Apache Spark that allows you to write your own deep learning applications as standard Spark programs. These can run directly on top of existing Spark or Hadoop clusters. Check out this article to gain new insights on why you'll benefit from using bigDL to write your deep learning programs. Also, take a look at our bigDL video to learn more about how it works. Download bigDL from GitHub, which you can find in the links below. Next, get started with Intel machine learning scaling library. Find out more from this article. It walks you through the install and even how to build and launch a sample application supplied with Intel MLSL. Effective computing is the human side of AI. It is crucial for AI to succeed and will impact many fields. Watch the series of videos from Intel Labs researcher, Daria Loi to learn more about effective computing and how it could be used to develop technologies to better our lives. Come together with thousands of data scientists, developers, engineers, business people, strategists, architects and analysts at Strata and Hadoop World, coming March 13th through the 16th at the San Jose Convention Center. This is a four day immersive experience in the challenges and opportunities in data. The conference features speakers from Pinterest, Niantic, Databricks, LinkedIn and more. Thanks for watching and don't forget to like this video and subscribe to stay updated on what's happening in AI. Remember to follow the links below and like us on Facebook.