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Decayed Learning Rate
authorjijoong.moon <jijoong.moon@samsung.com>
Tue, 11 Feb 2020 06:05:39 +0000 (15:05 +0900)
committer문지중/On-Device Lab(SR)/Principal Engineer/삼성전자 <jijoong.moon@samsung.com>
Thu, 13 Feb 2020 04:15:46 +0000 (13:15 +0900)
commit43fa260ecf3e0f67bfefb8bc89f2c8a2635fa358
tree3a328d95a228f680484fb1cb76427d7149b5fcaatree | snapshot
parentcf191c25de7e51ecbeec8aa6f3663285bb20d445commit | diff
Decayed Learning Rate

Implement Decayed Learning Rate for better convergence

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
include/layers.h diff | blob | history
include/neuralnet.h diff | blob | history
src/layers.cpp diff | blob | history
src/neuralnet.cpp diff | blob | history
test/decayed_learning_rate/Training.ini [new file with mode: 0644] blob
Domain: Machine Learning / ML Framework;