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
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