diff options
| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-05-22 18:24:09 -0700 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-05-22 18:26:39 -0700 |
| commit | 6029909fe1b8b26c19f618571faf47d9a7561009 (patch) | |
| tree | 69b37cabe9040f609bb155abd908a36eafd7ed6d | |
| parent | a803c6a55badd510ef67502f4e0b2da31a60acc4 (diff) | |
| download | caffeonacl-6029909fe1b8b26c19f618571faf47d9a7561009.tar.gz caffeonacl-6029909fe1b8b26c19f618571faf47d9a7561009.tar.bz2 caffeonacl-6029909fe1b8b26c19f618571faf47d9a7561009.zip | |
link presentation on dropbox (was self-hosted during a dropbox issue)
| -rw-r--r-- | README.md | 2 | ||||
| -rw-r--r-- | docs/index.md | 2 |
2 files changed, 2 insertions, 2 deletions
@@ -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 index 79e107bc..6857c4e5 100644 --- a/docs/index.md +++ b/docs/index.md @@ -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. |