run class-based CE on 2 layers LSTM

ck8275411 · May 28, 2015 · 6906152 · 6906152
1 parent 82fd2d8
commit 6906152
Showing 1 changed file with 2 additions and 0 deletions.
diff --git a/ExampleSetups/News/steps/s3.class.lstm.txt b/ExampleSetups/News/steps/s3.class.lstm.txt
@@ -18,3 +18,5 @@ D:\dev\cntkcodeplex\x64\Release\cntk.exe configFile=..\setups\global.config+..\s
 # increase class number to 100
 \\speechstore5\userdata\kaishengy\bin\binmay28\cntk.exe configFile=\\speechstore5\userdata\kaishengy\exp\news\setups\global.config+\\speechstore5\userdata\kaishengy\exp\news\setups\lstmlm.gpu.classlm.config.txt ExpDir=\\speechstore5\transient\kaishengy\exp\news\s1.lstmcls100lm  DEVICE=0 CLASSSIZE=100
 
+# increase class number to 100 with 2 layers of LSTM
+\\speechstore5\userdata\kaishengy\bin\binmay28a\cntk.exe configFile=\\speechstore5\userdata\kaishengy\exp\news\setups\global.config+\\speechstore5\userdata\kaishengy\exp\news\setups\lstmlm.gpu.classlm.config.txt ExpDir=\\speechstore5\transient\kaishengy\exp\news\s1.lstmcls100lm.2layer  CLASSSIZE=100 train=[SimpleNetworkBuilder=[layerSizes=$VOCABSIZE$:100:200:200:$VOCABSIZE$]] DEVICE=1