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authorSiCongLi <sicong.li@arm.com>2021-06-04 10:47:07 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-06-08 17:36:27 +0000
commit4d7fff1e8668b2efdf7412ce2c8c0abf5fccd3b6 (patch)
tree870d7d6c307489175d628534bafa92e225e8271b /examples/graph_lenet.cpp
parent5e53fc65a6d7a966541c3020593eefc5222ef914 (diff)
downloadComputeLibrary-4d7fff1e8668b2efdf7412ce2c8c0abf5fccd3b6.tar.gz
Fix missing network references
* Add missing references to LeNet * Remove mnist example, which is an internally developed network Resolves: COMPMID-4559 Signed-off-by: SiCongLi <sicong.li@arm.com> Change-Id: I139354890f1a9acb54a87add6895262102b3b8de Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5782 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'examples/graph_lenet.cpp')
-rw-r--r--examples/graph_lenet.cpp8
1 files changed, 8 insertions, 0 deletions
diff --git a/examples/graph_lenet.cpp b/examples/graph_lenet.cpp
index 6560a980cc..1bcd95fb58 100644
--- a/examples/graph_lenet.cpp
+++ b/examples/graph_lenet.cpp
@@ -132,6 +132,14 @@ private:
/** Main program for LeNet
*
+ * Model is based on:
+ * http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf
+ * "Gradient-Based Learning Applied to Document Recognition"
+ * Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner
+ *
+ * The original model uses tanh instead of relu activations. However the use of relu activations in lenet has been
+ * widely adopted to improve accuracy.*
+ *
* @note To list all the possible arguments execute the binary appended with the --help option
*
* @param[in] argc Number of arguments