This page will be updated as more models become available.
### ImageNet
-The AlexNet model trained on ILSVRC-2010 can be downloaded (232.57MB) by running `models/get_caffe_reference_imagenet_model.sh` from the Caffe root directory.
+Our reference implementation of the AlexNet model trained on ILSVRC-2010 can be downloaded (232.57MB) by running `models/get_caffe_reference_imagenet_model.sh` from the Caffe root directory.
Additionally, you will probably eventually need some auxiliary data (mean image, synset list, etc.): run `data/ilsvrc12/get_ilsvrc_aux.sh` from the root directory to obtain it.
## Why Caffe?
-Caffe aims to provide computer vision practicioners with a **clean and modifiable implementation** of state-of-the-art deep learning algorithms.
+Caffe aims to provide computer vision scientists and practicioners with a **clean and modifiable implementation** of state-of-the-art deep learning algorithms.
For example, network structure is easily specified in separate config files, with no mess of hard-coded parameters in the code.
At the same time, Caffe fits industry needs, with blazing fast C++/Cuda code for GPU computation.
* [Introductory slides](/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 non-commercial use.
+* [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.
### Examples