* [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!
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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