Bug fixes in markup.

Waikato · Nov 26, 2020 · 341dd7c · 341dd7c
1 parent def3b91
commit 341dd7c
Showing 1 changed file with 12 additions and 12 deletions.
diff --git a/posts/2020-11-26-wekaDeeplearning4j-1.7.0.rst b/posts/2020-11-26-wekaDeeplearning4j-1.7.0.rst
@@ -10,12 +10,12 @@ A new version of WekaDeeplearning4j, version 1.7.0, is available!
 
 .. TEASER_END
 
-.. figure:: ../../images/GUI.jpg
-	     Dl4jCNNExplorer and saliency map generation.
+.. image:: ../../images/GUI.jpg
+   :alt: Dl4jCNNExplorer and saliency map generation.
 
-*******
+**************************************
 Dl4j Inference Panel & Dl4jCNNExplorer
-*******
+**************************************
 
 One major addition in **WekaDeeplearning4j** v1.7.0 is the new **Dl4jCNNExplorer** and the
 associated GUI **Dl4j Inference Panel**. This brings real-time inference to the WEKA universe,
@@ -30,9 +30,9 @@ architectures may work best for your domain.
 Check out the `usage example <https://deeplearning.cms.waikato.ac.nz/examples/dl4j-inference/>`__
 to see how easy it is to get started.
 
-*******
+*************************************
 Saliency Map Generation with ScoreCAM
-*******
+*************************************
 
 Another exciting new feature is the implementation of **ScoreCAM**, a saliency map generation technique.
 This can be accessed through the `Dl4jCNNExplorer`, allowing you to not only perform prediction on an image,
@@ -44,20 +44,20 @@ This can be invoked from the command-line, although the best user experience is
 Check out the `usage example <https://deeplearning.cms.waikato.ac.nz/examples/dl4j-inference/#example-4-saliency-map-generation>`__
 to see what new insights can be brought to your workflow.
 
-*******
+****************
 Progress Manager
-*******
+****************
 
-.. figure:: ../../images/ProgressManager.png
-	    Progress manager.
+.. image:: ../../images/ProgressManager.png
+   :alt: Progress manager.
 
 We've created a simple---but effective---progress bar and added this to the long-running tasks
 (model training, feature extraction, etc.). This provides a graphical indicator of progress and remaining
 ETA for the current job so will make WEKA more usable for large jobs.
 
-*******
+***************
 Model Summaries
-*******
+***************
 
 We've also added `model summaries <https://deeplearning.cms.waikato.ac.nz/user-guide/model-zoo/#model-summaries>`__
 to the documentation, which specify the different models and their layers. This can be useful for designing