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author | Kibum Bae <kibum85.bae@samsung.com> | 2015-06-02 22:20:27 +0900 |
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committer | Kibum Bae <kibum85.bae@samsung.com> | 2015-06-02 22:20:27 +0900 |
commit | 86758be9323a2bbefa751132dd58376e7667294d (patch) | |
tree | 3469df13f0f5fa5a4298a9c5141509ff55b20c75 /models | |
parent | e22cd54c3fe0265ad97bc5385bece954416758f1 (diff) | |
download | caffe-86758be9323a2bbefa751132dd58376e7667294d.tar.gz caffe-86758be9323a2bbefa751132dd58376e7667294d.tar.bz2 caffe-86758be9323a2bbefa751132dd58376e7667294d.zip |
Remove unnecessary filler parameter in the sample model
In bvlc_googlenet model, unnecessary filler parameters, 'std', were used
for Xavier weight fillers.
Diffstat (limited to 'models')
-rw-r--r-- | models/bvlc_googlenet/train_val.prototxt | 63 |
1 files changed, 0 insertions, 63 deletions
diff --git a/models/bvlc_googlenet/train_val.prototxt b/models/bvlc_googlenet/train_val.prototxt index 79ede2b9..5dee3abe 100644 --- a/models/bvlc_googlenet/train_val.prototxt +++ b/models/bvlc_googlenet/train_val.prototxt @@ -61,7 +61,6 @@ layer { stride: 2 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -115,7 +114,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -148,7 +146,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -202,7 +199,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -234,7 +230,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -267,7 +262,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -299,7 +293,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -332,7 +325,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -376,7 +368,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -417,7 +408,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -449,7 +439,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -482,7 +471,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -514,7 +502,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -547,7 +534,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -591,7 +577,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -643,7 +628,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -675,7 +659,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -708,7 +691,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -740,7 +722,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -773,7 +754,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -817,7 +797,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -869,7 +848,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.08 } bias_filler { type: "constant" @@ -900,7 +878,6 @@ layer { num_output: 1024 weight_filler { type: "xavier" - std: 0.02 } bias_filler { type: "constant" @@ -940,7 +917,6 @@ layer { num_output: 1000 weight_filler { type: "xavier" - std: 0.0009765625 } bias_filler { type: "constant" @@ -997,7 +973,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1029,7 +1004,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -1062,7 +1036,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1094,7 +1067,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -1127,7 +1099,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1171,7 +1142,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -1212,7 +1182,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1244,7 +1213,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -1277,7 +1245,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1309,7 +1276,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -1342,7 +1308,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1386,7 +1351,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -1427,7 +1391,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1459,7 +1422,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -1492,7 +1454,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1524,7 +1485,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -1557,7 +1517,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1601,7 +1560,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -1653,7 +1611,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.08 } bias_filler { type: "constant" @@ -1684,7 +1641,6 @@ layer { num_output: 1024 weight_filler { type: "xavier" - std: 0.02 } bias_filler { type: "constant" @@ -1724,7 +1680,6 @@ layer { num_output: 1000 weight_filler { type: "xavier" - std: 0.0009765625 } bias_filler { type: "constant" @@ -1781,7 +1736,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1813,7 +1767,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -1846,7 +1799,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1878,7 +1830,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -1911,7 +1862,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -1955,7 +1905,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -2007,7 +1956,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2039,7 +1987,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -2072,7 +2019,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2104,7 +2050,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -2137,7 +2082,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2181,7 +2125,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" @@ -2222,7 +2165,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2254,7 +2196,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.09 } bias_filler { type: "constant" @@ -2287,7 +2228,6 @@ layer { kernel_size: 3 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2319,7 +2259,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.2 } bias_filler { type: "constant" @@ -2352,7 +2291,6 @@ layer { kernel_size: 5 weight_filler { type: "xavier" - std: 0.03 } bias_filler { type: "constant" @@ -2396,7 +2334,6 @@ layer { kernel_size: 1 weight_filler { type: "xavier" - std: 0.1 } bias_filler { type: "constant" |