Fix image links in interactive viz docs
@@ -14,7 +14,7 @@ of different animals. Attempting to guess the animal from the 2D UMAP representa
fun game. In practice this tool can go a long way to helping to build at least some intuitions
for what UMAP tends to do with data.
-.. image:: UMAP_zoo.png
+.. image:: images/UMAP_zoo.png
:width: 400px
`UMAP Zoo <https://duhaime.s3.amazonaws.com/apps/umap-zoo/index.html>`__
@@ -29,7 +29,7 @@ it also has facilities for inspecting and searching labels and tags on the data.
it loads up word2vec vectors, but you can uplod any data you wish. You can then select
the UMAP option among the tabs for embeddings choices (alongside PCA and t-SNE).
-.. image:: embedding_projector.png
+.. image:: images/embedding_projector.png
:width: 400px
`Embedding Projector <https://projector.tensorflow.org/>`__
@@ -47,7 +47,7 @@ ending up in similar regions of the map allowing for easy perusal of large photo
collections. The PixPlot project is also available on github in case you wish to train
it on your own photo collection.
-.. image:: pixplot.png
+.. image:: images/pixplot.png
:width: 400px
`PixPlot <https://dhlab.yale.edu/projects/pixplot/>`__
@@ -63,7 +63,7 @@ over the images will make them larger and provide a view of the digit in the upp
and zoom around the emebdding to get a better understanding of how UMAP has mapped the different styles of
handwritten digits down to 2 dimensions.
-.. image:: umap_explorer.png
+.. image:: images/umap_explorer.png
:width: 400px
`UMAP Explorer <https://grantcuster.github.io/umap-explorer/>`__
@@ -79,7 +79,7 @@ to quickly find exactly the right sound sample to use. Audio explorer uses MFCCs
provide an initial useful vector representation of the sound samples, before applying UMAP to
generate the 2D embedding.
-.. image:: audio_explorer.png
+.. image:: images/audio_explorer.png
:width: 400px
http://doc.gold.ac.uk/~lfedd001/three/demo.html
