svn commit: r1700785 - in /incubator/singa/site/trunk/content/markdown/docs: cnn.md data.md layer.md mlp.md rbm.md rnn.md

[jinyang]

Author: jinyang
Date: Wed Sep  2 12:26:30 2015
New Revision: 1700785

URL: http://svn.apache.org/r1700785
Log:
fixed bugs in image links

Modified:
    incubator/singa/site/trunk/content/markdown/docs/cnn.md
    incubator/singa/site/trunk/content/markdown/docs/data.md
    incubator/singa/site/trunk/content/markdown/docs/layer.md
    incubator/singa/site/trunk/content/markdown/docs/mlp.md
    incubator/singa/site/trunk/content/markdown/docs/rbm.md
    incubator/singa/site/trunk/content/markdown/docs/rnn.md

Modified: incubator/singa/site/trunk/content/markdown/docs/cnn.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/cnn.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/cnn.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/cnn.md Wed Sep  2 12:26:30 
2015
@@ -69,7 +69,7 @@ Next we follow the guide in [neural net
 and [layer page](http://singa.incubator.apache.org/docs/layer) to write the 
neural net configuration.
 
 <div style = "text-align: center">
-<img src = "http://singa.incubator.apache.org/assets/image/cnn-example.png"; 
style = "width: 200px"> <br/>
+<img src = "http://singa.incubator.apache.org/images/cnn-example.png"; style = 
"width: 200px"> <br/>
 <strong>Figure 1 - Net structure of the CNN example.</strong></img>
 </div>
 

Modified: incubator/singa/site/trunk/content/markdown/docs/data.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/data.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/data.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/data.md Wed Sep  2 
12:26:30 2015
@@ -56,7 +56,7 @@ The extended `Record` will be parsed by
 their own [parser 
layers](http://singa.incubator.apache.org/docs/layer#parser-layers) to parse the
 extended `Record`.
 
-{% comment %}
+
 *Note*
 
 There is an alternative way to define the proto extension.
@@ -71,7 +71,6 @@ fields, which are different from the abo
         optional string userVAR2 = 2; // unique field id
         ...
     }
-{% endcomment %}
 
 ###  DataShard creation
 

Modified: incubator/singa/site/trunk/content/markdown/docs/layer.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/layer.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/layer.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/layer.md Wed Sep  2 
12:26:30 2015
@@ -144,7 +144,7 @@ the mean of each pixel over all training
       mirror: bool  # mirror the image by set image[i,j]=image[i,len-j]
       meanfile: "Image_Mean_File_Path"
     }
-{% comment %}
+
 #### PrefetchLayer
 
 
[PrefetchLayer](http://singa.incubator.apache.org/api/classsinga_1_1PrefetchLayer.html)
 embeds data layers and parser layers to do data prefeching.
@@ -178,8 +178,6 @@ The layers on top of the PrefetchLayer s
 layers as their source layers. For example, the "rgb" and "label" should be
 configured to the `srclayers` of other layers.
 
-{% endcomment %}
-
 #### Neuron Layers
 
 Neuron layers conduct feature transformations.
@@ -276,9 +274,8 @@ This scheme helps deep learning model aw
     }
 
 `local_size` specifies  the quantity of the adjoining channels which will be 
summed up.
-{% comment %}
  For `WITHIN_CHANNEL`, it means the side length of the space region which will 
be summed up.
-{% endcomment %}
+
 
 #### Loss Layers
 

Modified: incubator/singa/site/trunk/content/markdown/docs/mlp.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/mlp.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/mlp.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/mlp.md Wed Sep  2 12:26:30 
2015
@@ -1,6 +1,5 @@
 # MLP Example
 
-
 Multilayer perceptron (MLP) is a feed-forward artificial neural network model.
 A MLP typically consists of multiple directly connected layers, with each 
layer fully
 connected to the next one. In this example, we will use SINGA to train a
@@ -67,7 +66,7 @@ this MNIST dataset.
 ### Neural net
 
 <div style = "text-align: center">
-<img src = "http://singa.incubator.apache.org/assets/image/mlp-example.png"; 
style = "width: 230px">
+<img src = "http://singa.incubator.apache.org/images/mlp-example.png"; style = 
"width: 230px">
 <br/><strong>Figure 1 - Net structure of the MLP example. </strong></img>
 </div>
 

Modified: incubator/singa/site/trunk/content/markdown/docs/rbm.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/rbm.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/rbm.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/rbm.md Wed Sep  2 12:26:30 
2015
@@ -39,7 +39,7 @@ The fine-tuning phase trains the auto-en
 
 ### RBM0
 
-<img src="http://singa.incubator.apache.org/assets/image/RBM0_new.PNG"; 
align="center" width="200px"/>
+<img src="http://singa.incubator.apache.org/images/RBM0_new.PNG"; 
align="center" width="200px"/>
 <span><strong>Figure 1 - RBM0.</strong></span>
 
 The neural net structure for training RBM0 is shown in Figure 1.
@@ -127,7 +127,7 @@ For example, if we configure it as,
 Then SINGA will [checkpoint the 
parameters](http://singa.incubator.apache.org/docs/checkpoint) into 
*SINGA_ROOT/rbm0/*.
 
 ### RBM1
-<img src="http://singa.incubator.apache.org/assets/image/RBM1_new.PNG"; 
align="center" width="200px"/>
+<img src="http://singa.incubator.apache.org/images/RBM1_new.PNG"; 
align="center" width="200px"/>
 <span><strong>Figure 2 - RBM1.</strong></span>
 
 Figure 2 shows the net structure of training RBM1.
@@ -213,7 +213,7 @@ The workspace is changed for checkpointi
 
 ### RBM2
 
-<img src="http://singa.incubator.apache.org/assets/image/RBM2_new.PNG"; 
align="center" width="200px"/>
+<img src="http://singa.incubator.apache.org/images/RBM2_new.PNG"; 
align="center" width="200px"/>
 <span><strong>Figure 3 - RBM2.</strong></span>
 
 
@@ -226,7 +226,7 @@ accepts output from Sigmoid2 layer. Para
 ### RBM3
 
 
-<img src="http://singa.incubator.apache.org/assets/image/RBM3_new.PNG"; 
align="center" width="200px"/>
+<img src="http://singa.incubator.apache.org/images/RBM3_new.PNG"; 
align="center" width="200px"/>
 <span><strong>Figure 4 - RBM3.</strong></span>
 
 

Modified: incubator/singa/site/trunk/content/markdown/docs/rnn.md
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/docs/rnn.md?rev=1700785&r1=1700784&r2=1700785&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/docs/rnn.md (original)
+++ incubator/singa/site/trunk/content/markdown/docs/rnn.md Wed Sep  2 12:26:30 
2015
@@ -34,7 +34,7 @@ Second, the training is started by passi
 
 ## Implementations
 
-<img src="http://singa.incubator.apache.org/assets/image/rnn-refine.png"; 
align="center" width="300px"/>
+<img src="http://singa.incubator.apache.org/images/rnn-refine.png"; 
align="center" width="300px"/>
 <span><strong>Figure 1 - Net structure of the RNN model.</strong></span>
 
 The neural net structure is shown Figure 1.