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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. |