## Documentation
- - [Introductory slides](http://dl.caffe.berkeleyvision.org/caffe-presentation.pdf)<br>
- Slides about the Caffe architecture, *updated 03/14*.
-- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)<br />
++- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)<br>
+ Caffe tutorial slides.
-- [ACM MM paper](http://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf)<br />
+- [ACM MM paper](http://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf)<br>
A 4-page report for the ACM Multimedia Open Source competition.
-- [Installation instructions](/installation.html)<br />
+- [Caffe Tutorial](/tutorial)<br>
+DIY deep learning with this hands-on tutorial to Caffe.
+- [Installation instructions](/installation.html)<br>
Tested on Ubuntu, Red Hat, OS X.
-* [Pre-trained models](/getting_pretrained_models.html)<br />
-BVLC provides ready-to-use models for non-commercial use.
-* [Developing & Contributing](/development.html)<br />
+* [Model Zoo](/model_zoo.html)<br>
+BVLC suggests a standard distribution format for Caffe models, and provides trained models.
+* [Developing & Contributing](/development.html)<br>
Guidelines for development and contributing to Caffe.
+* [API Documentation](/doxygen/)<br>
+Developer documentation automagically generated from code comments.
### Examples