From: Sergey Karayev Date: Tue, 18 Mar 2014 18:59:34 +0000 (-0700) Subject: minor fixes suggested by evan X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=b77e5d49025a59fa41e4caaec25ae7f7b9a747c7;p=platform%2Fupstream%2Fcaffe.git minor fixes suggested by evan --- diff --git a/docs/getting_pretrained_models.md b/docs/getting_pretrained_models.md index 7ef1968..93421dc 100644 --- a/docs/getting_pretrained_models.md +++ b/docs/getting_pretrained_models.md @@ -11,6 +11,6 @@ If you have any questions, please get in touch with us. 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. diff --git a/docs/index.md b/docs/index.md index f3ed60a..edc820f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -11,7 +11,7 @@ Caffe is released under [the BSD 2-Clause license](https://github.com/BVLC/caffe ## 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. @@ -24,7 +24,7 @@ Even in CPU mode, computing predictions on an image takes only 20 ms when images * [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