link presentation on dropbox (was self-hosted during a dropbox issue)

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@@ -22,7 +22,7 @@ line of code: `Caffe::set_mode(Caffe::CPU)`.
 Even in CPU mode, computing predictions on an image takes only 20 ms when images
 are processed in batch mode.
 
-* [Caffe introductory presentation](http://berkeleyvision.org/caffe-presentation.pdf)
+* [Caffe introductory presentation](https://www.dropbox.com/s/10fx16yp5etb8dv/caffe-presentation.pdf)
 * [Installation instructions](http://caffe.berkeleyvision.org/installation.html)
 
 \* When measured with the [SuperVision](http://www.image-net.org/challenges/LSVRC/2012/supervision.pdf) model that won the ImageNet Large Scale Visual Recognition Challenge 2012.

diff --git a/docs/index.md b/docs/index.md
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@@ -25,7 +25,7 @@ Even in CPU mode, computing predictions on an image takes only 20 ms when images
 
 ## Documentation
 
-* [Introductory slides](http://caffe.berkeleyvision.org/caffe-presentation.pdf): slides about the Caffe architecture, *updated 03/14*.
+* [Introductory slides](https://www.dropbox.com/s/10fx16yp5etb8dv/caffe-presentation.pdf): slides about the Caffe architecture, *updated 03/14*.
 * [Installation](/installation.html): Instructions on installing Caffe (works on Ubuntu, Red Hat, OS X).
 * [Pre-trained models](/getting_pretrained_models.html): BVLC provides some pre-trained models for academic / non-commercial use.
 * [Development](/development.html): Guidelines for development and contributing to Caffe.