[example] add LeNet to MNIST title, fix paths to be from root

diff --git a/examples/mnist/readme.md b/examples/mnist/readme.md
index 44e0091..2b8f0d7 100644 (file)
--- a/examples/mnist/readme.md
+++ b/examples/mnist/readme.md
@@ -1,6 +1,6 @@
 ---
-title: MNIST Tutorial
-description: Train and test "LeNet" on MNIST data.
+title: LeNet MNIST Tutorial
+description: Train and test "LeNet" on the MNIST handwritten digit data.
 category: example
 include_in_docs: true
 priority: 1
@@ -14,10 +14,9 @@ We will assume that you have Caffe successfully compiled. If not, please refer t
 
 You will first need to download and convert the data format from the MNIST website. To do this, simply run the following commands:
 
-    cd $CAFFE_ROOT/data/mnist
-    ./get_mnist.sh
-    cd $CAFFE_ROOT/examples/mnist
-    ./create_mnist.sh
+    cd $CAFFE_ROOT
+    ./data/mnist/get_mnist.sh
+    ./examples/mnist/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, `mnist_train_lmdb`, and `mnist_test_lmdb`.
 
@@ -228,8 +227,8 @@ Check out the comments explaining each line in the prototxt `$CAFFE_ROOT/example
 
 Training the model is simple after you have written the network definition protobuf and solver protobuf files. Simply run `train_lenet.sh`, or the following command directly:
 
-    cd $CAFFE_ROOT/examples/mnist
-    ./train_lenet.sh
+    cd $CAFFE_ROOT
+    ./examples/mnist/train_lenet.sh
 
 `train_lenet.sh` is a simple script, but here is a quick explanation: the main tool for training is `caffe` with action `train` and the solver protobuf text file as its argument.