From fcbe69f599cc6b0f87e11162339ceb180c02c301 Mon Sep 17 00:00:00 2001 From: Kai Li Date: Wed, 26 Mar 2014 10:43:35 +0800 Subject: [PATCH] Fix imagenet pretrained links --- docs/imagenet_training.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/imagenet_training.md b/docs/imagenet_training.md index a1553dd..fbf1e13 100644 --- a/docs/imagenet_training.md +++ b/docs/imagenet_training.md @@ -9,7 +9,7 @@ Yangqing's Recipe on Brewing ImageNet "All your braincells are belong to us." - Caffeine -We are going to describe a reference implementation for the approach first proposed by Krizhevsky, Sutskever, and Hinton in their [NIPS 2012 paper](http://books.nips.cc/papers/files/nips25/NIPS2012_0534.pdf). Since training the whole model takes some time and energy, we provide a model, trained in the same way as we describe here, to help fight global warming. If you would like to simply use the pretrained model, check out the [Pretrained ImageNet](imagenet_pretrained.html) page. *Note that the pretrained model is for academic research / non-commercial use only*. +We are going to describe a reference implementation for the approach first proposed by Krizhevsky, Sutskever, and Hinton in their [NIPS 2012 paper](http://books.nips.cc/papers/files/nips25/NIPS2012_0534.pdf). Since training the whole model takes some time and energy, we provide a model, trained in the same way as we describe here, to help fight global warming. If you would like to simply use the pretrained model, check out the [Pretrained ImageNet](getting_pretrained_models.html) page. *Note that the pretrained model is for academic research / non-commercial use only*. To clarify, by ImageNet we actually mean the ILSVRC12 challenge, but you can easily train on the whole of ImageNet as well, just with more disk space, and a little longer training time. @@ -99,4 +99,4 @@ Parting Words Hope you liked this recipe! Many researchers have gone further since the ILSVRC 2012 challenge, changing the network architecture and/or finetuning the various parameters in the network. The recent ILSVRC 2013 challenge suggests that there are quite some room for improvement. **Caffe allows one to explore different network choices more easily, by simply writing different prototxt files** - isn't that exciting? -And since now you have a trained network, check out how to use it: [Running Pretrained ImageNet](imagenet_pretrained.html). This time we will use Python, but if you have wrappers for other languages, please kindly send a pull request! +And since now you have a trained network, check out how to use it: [Running Pretrained ImageNet](getting_pretrained_models.html). This time we will use Python, but if you have wrappers for other languages, please kindly send a pull request! -- 2.7.4