Author: deron
Date: Wed May 17 18:35:15 2017
New Revision: 1795443
URL: http://svn.apache.org/viewvc?rev=1795443&view=rev
Log:
Update about copy and embed video
Modified:
incubator/systemml/site/assets/css/main.css
incubator/systemml/site/index.html
Modified: incubator/systemml/site/assets/css/main.css
URL:
http://svn.apache.org/viewvc/incubator/systemml/site/assets/css/main.css?rev=1795443&r1=1795442&r2=1795443&view=diff
==============================================================================
--- incubator/systemml/site/assets/css/main.css (original)
+++ incubator/systemml/site/assets/css/main.css Wed May 17 18:35:15 2017
@@ -5696,4 +5696,18 @@ figure {
.preview-image img {
width: 500px; }
[... 17 lines stripped ...]
Modified: incubator/systemml/site/index.html
URL:
http://svn.apache.org/viewvc/incubator/systemml/site/index.html?rev=1795443&r1=1795442&r2=1795443&view=diff
==============================================================================
--- incubator/systemml/site/index.html (original)
+++ incubator/systemml/site/index.html Wed May 17 18:35:15 2017
@@ -167,16 +167,19 @@
<!-- About -->
<section class="full-stripe">
- <div class="ml-container ml-container--vertically-centered
ml-container--reverse-order">
+ <div class="ml-container ml-container--vertically-top
ml-container--reverse-order">
<div class="col col-6 content-group content-group--more-padding">
- <img src="/assets/img/diagramAnim-v4.gif" alt="What is Apache SystemML?">
+ <!--<img src="/assets/img/diagramAnim-v4.gif" alt="What is Apache
SystemML?">-->
+ <div class="video-wrapper">
+ <iframe src="https://www.youtube.com/embed/r-kFYkYoD_4";
frameborder="0" allowfullscreen></iframe>
+ </div>
</div>
<div class="col col-6 content-group content-group--more-padding">
<!-- bdi tag prevents reverse punctuation when rtl direction property is
applied -->
<h2><bdi>What is SystemML?</bdi></h2>
- <p><bdi>Apache SystemML provides an optimal workplace for machine
learning using big data.
- It can be run on top of Apache Spark, where it automatically scales
your data, line by line,
- determining whether your code should be run on the driver or an Apache
Spark cluster.</bdi></p>
+ <p><bdi>Apache SystemML provides declarative, large-scalable machine
learning and deep learning. Data scientists are able to implement algorithms
and neural network architectures in a high-level language without knowledge of
distributed programming or Apache Spark. Depending on data characteristics such
as data size/shape and data sparsity (dense/sparse), and cluster
characteristics such as cluster size and memory configurations, SystemML's
cost-based optimizing compiler automatically generates hybrid runtime execution
plans that are composed of single-node and distributed operations on a Apache
Spark cluster for best performance.</bdi></p>
+
+ <p><bdi>Very soon, additional deep learning capabilities will allow for
importing and running popular neural network architectures and pre-trained
models from Caffe for training and scoring in SystemML.</bdi></p>
</div>
</div>
</section>
