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| -rw-r--r-- | docs/00_introduction.dox | 4 | ||||
| -rw-r--r-- | examples/graph_lenet.cpp | 1 |
2 files changed, 4 insertions, 1 deletions
diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox index 8eea0636aa..b097128ac1 100644 --- a/docs/00_introduction.dox +++ b/docs/00_introduction.dox @@ -87,7 +87,11 @@ You should have the following file organisation: ├── documentation.xhtml -> documentation/index.xhtml ├── examples │ ├── cl_convolution.cpp + │ ├── cl_events.cpp + │ ├── graph_lenet.cpp │ ├── neoncl_scale_median_gaussian.cpp + │ ├── neon_cnn.cpp + │ ├── neon_copy_objects.cpp │ ├── neon_convolution.cpp │ └── neon_scale.cpp ├── include diff --git a/examples/graph_lenet.cpp b/examples/graph_lenet.cpp index 9e6551973b..676fdb9ce2 100644 --- a/examples/graph_lenet.cpp +++ b/examples/graph_lenet.cpp @@ -120,7 +120,6 @@ void main_graph_lenet(int argc, const char **argv) 500U, get_accessor(data_path, "/cnn_data/lenet_model/ip1_w.npy"), get_accessor(data_path, "/cnn_data/lenet_model/ip1_b.npy")) - << TensorInfo(TensorShape(500U, batches), 1, DataType::F32) << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) << FullyConnectedLayer( 10U, |