change lenet dir to 'mnist' in docs

diff --git a/docs/mnist.md b/docs/mnist.md
index c97f3cf..1e0f49f 100644 (file)
--- a/docs/mnist.md
+++ b/docs/mnist.md
@@ -15,7 +15,7 @@ You will first need to download and convert the data format from the MNIST websi
 
     cd $CAFFE_ROOT/data/mnist
     ./get_mnist.sh
-    cd $CAFFE_ROOT/examples/lenet
+    cd $CAFFE_ROOT/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-leveldb`, and `mnist-test-leveldb`.
@@ -33,7 +33,7 @@ Training and Testing the Model
 
 Training the model is simple after you have written the network definition protobuf and solver protobuf files. Simply run `train_mnist.sh`, or the following command directly:
 
-    cd $CAFFE_ROOT/examples/lenet
+    cd $CAFFE_ROOT/examples/mnist
     ./train_lenet.sh
 
 `train_lenet.sh` is a simple script, but here are a few explanations: `GLOG_logtostderr=1` is the google logging flag that prints all the logging messages directly to stderr. The main tool for training is `train_net.bin`, with the solver protobuf text file as its argument.