diff options
| author | Rohit <rgirdhar@andrew.cmu.edu> | 2014-10-31 21:43:44 -0400 |
|---|---|---|
| committer | Rohit <rgirdhar@andrew.cmu.edu> | 2014-10-31 21:43:44 -0400 |
| commit | 0b6c663d9bcc7a77a4f63e7a5bb98ec18e18041f (patch) | |
| tree | 3e2d22e09ce93134d901edf6c83f945f99612b54 /examples | |
| parent | c18d22eb92488f02c0256a3fe4ac20a8ad827596 (diff) | |
| download | caffeonacl-0b6c663d9bcc7a77a4f63e7a5bb98ec18e18041f.tar.gz caffeonacl-0b6c663d9bcc7a77a4f63e7a5bb98ec18e18041f.tar.bz2 caffeonacl-0b6c663d9bcc7a77a4f63e7a5bb98ec18e18041f.zip | |
documentation bug
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/cifar10/readme.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/examples/cifar10/readme.md b/examples/cifar10/readme.md index a329b49c..4a95cee9 100644 --- a/examples/cifar10/readme.md +++ b/examples/cifar10/readme.md @@ -24,8 +24,8 @@ You will first need to download and convert the data format from the [CIFAR-10 w cd $CAFFE_ROOT/data/cifar10 ./get_cifar10.sh - cd $CAFFE_ROOT/examples/cifar10 - ./create_cifar10.sh + cd $CAFFE_ROOT + ./examples/cifar10/create_cifar10.sh If it complains that `wget` or `gunzip` are not installed, you need to install them respectively. After running the script there should be the dataset, `./cifar10-leveldb`, and the data set image mean `./mean.binaryproto`. @@ -39,8 +39,8 @@ Training and Testing the "Quick" Model Training the model is simple after you have written the network definition protobuf and solver protobuf files (refer to [MNIST Tutorial](../examples/mnist.html)). Simply run `train_quick.sh`, or the following command directly: - cd $CAFFE_ROOT/examples/cifar10 - ./train_quick.sh + cd $CAFFE_ROOT + ./examples/cifar10/train_quick.sh `train_quick.sh` is a simple script, so have a look inside. The main tool for training is `caffe` with the `train` action, and the solver protobuf text file as its argument. |