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| author | Franck Dernoncourt <franck.dernoncourt@gmail.com> | 2015-07-22 17:32:12 -0700 |
|---|---|---|
| committer | Franck Dernoncourt <franck.dernoncourt@gmail.com> | 2015-07-22 17:32:12 -0700 |
| commit | 075321931671330a8591554182dfa7e9f94697f4 (patch) | |
| tree | ca51254a47f03ce6d62590290a0bb90e538c0271 /docs | |
| parent | 2d328815afa90c2b9bf10f1e5795bbcc2bc877ed (diff) | |
| download | caffeonacl-075321931671330a8591554182dfa7e9f94697f4.tar.gz caffeonacl-075321931671330a8591554182dfa7e9f94697f4.tar.bz2 caffeonacl-075321931671330a8591554182dfa7e9f94697f4.zip | |
Fix path to mnist_autoencoder.prototxt
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/tutorial/layers.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/tutorial/layers.md b/docs/tutorial/layers.md index 806374e3..eabc792b 100644 --- a/docs/tutorial/layers.md +++ b/docs/tutorial/layers.md @@ -213,7 +213,7 @@ Given an input value x, The `ReLU` layer computes the output as x if x > 0 and n * Layer type: `Sigmoid` * CPU implementation: `./src/caffe/layers/sigmoid_layer.cpp` * CUDA GPU implementation: `./src/caffe/layers/sigmoid_layer.cu` -* Sample (as seen in `./examples/imagenet/mnist_autoencoder.prototxt`) +* Sample (as seen in `./examples/mnist/mnist_autoencoder.prototxt`) layer { name: "encode1neuron" |