minor mnist example update

diff --git a/docs/index.md b/docs/index.md
index 9877fba..49dea0e 100644 (file)
--- a/docs/index.md
+++ b/docs/index.md
@@ -33,7 +33,7 @@ Quick Links
 * [Presentation](caffe-presentation.pdf): The Caffe presentation, *updated 03/14*.
 * [Installation](installation.html): Instructions on installing Caffe (tested on Ubuntu 12.04, but works on Red Hat, OS X, etc.).
 * [Development](development.html): Guidelines for development and contributing to Caffe.
-* [MNIST Demo](mnist.html): example of end-to-end training and testing on the MNIST data.
+* [LeNet / MNIST Demo](mnist.html): example of end-to-end training and testing of LeNet on MNIST.
 * [CIFAR-10 Demo](cifar10.html): example of training and testing on the CIFAR-10 data.
 * [Training ImageNet](imagenet_training.html): tutorial on end-to-end training of an ImageNet classifier.
 * [Running Pretrained ImageNet](imagenet_pretrained.html): simply runs in Python!

diff --git a/docs/mnist.md b/docs/mnist.md
index d23c263..c97f3cf 100644 (file)
--- a/docs/mnist.md
+++ b/docs/mnist.md
@@ -18,7 +18,7 @@ You will first need to download and convert the data format from the MNIST websi
     cd $CAFFE_ROOT/examples/lenet
     ./create_mnist.sh
 
-If it complains that `wget` or `gunzip` are not installed, you need to install them respectively. After running the script there should be two datasets, `CAFFE_ROOT/data/mnist-train-leveldb`, and `CAFFE_ROOT/data/mnist-test-leveldb`.
+If it complains that `wget` or `gunzip` are not installed, you need to install them respectively. After running the script there should be two datasets, `mnist-train-leveldb`, and `mnist-test-leveldb`.
 
 LeNet: the MNIST Classification Model
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