diff --git a/tmva/pymva/test/testPyKerasClassification.C b/tmva/pymva/test/testPyKerasClassification.C index 8e71e29eafe4605931d2c7d51611a0076a69e722..67b2a18393553ba81e5678b8686298620daa6dcf 100644 --- a/tmva/pymva/test/testPyKerasClassification.C +++ b/tmva/pymva/test/testPyKerasClassification.C @@ -12,12 +12,11 @@ TString pythonSrc = "\ from keras.models import Sequential\n\ from keras.layers.core import Dense, Activation\n\ -from keras import initializations\n\ from keras.optimizers import SGD\n\ \n\ model = Sequential()\n\ -model.add(Dense(64, init=\"normal\", activation=\"relu\", input_dim=4))\n\ -model.add(Dense(2, init=\"normal\", activation=\"softmax\"))\n\ +model.add(Dense(64, activation=\"relu\", input_dim=4))\n\ +model.add(Dense(2, activation=\"softmax\"))\n\ model.compile(loss=\"categorical_crossentropy\", optimizer=SGD(lr=0.01), metrics=[\"accuracy\",])\n\ model.save(\"kerasModelClassification.h5\")\n"; diff --git a/tmva/pymva/test/testPyKerasMulticlass.C b/tmva/pymva/test/testPyKerasMulticlass.C index ddf88bd16abffa1124adc046d02aae6a87543453..b62272732b755f3fe05350b310642a068f7f6c71 100644 --- a/tmva/pymva/test/testPyKerasMulticlass.C +++ b/tmva/pymva/test/testPyKerasMulticlass.C @@ -13,12 +13,11 @@ TString pythonSrc = "\ from keras.models import Sequential\n\ from keras.layers.core import Dense, Activation\n\ -from keras import initializations\n\ from keras.optimizers import Adam\n\ \n\ model = Sequential()\n\ -model.add(Dense(64, init=\"glorot_normal\", activation=\"relu\", input_dim=4))\n\ -model.add(Dense(4, init=\"glorot_normal\", activation=\"softmax\"))\n\ +model.add(Dense(64, activation=\"relu\", input_dim=4))\n\ +model.add(Dense(4, activation=\"softmax\"))\n\ model.compile(loss=\"categorical_crossentropy\", optimizer=Adam(), metrics=[\"accuracy\",])\n\ model.save(\"kerasModelMulticlass.h5\")\n"; diff --git a/tmva/pymva/test/testPyKerasRegression.C b/tmva/pymva/test/testPyKerasRegression.C index 4313ceba13754a26c054bb166d80efc3a066c167..030ebb87b90d3f97cad7bd0e137086bc6659db5e 100644 --- a/tmva/pymva/test/testPyKerasRegression.C +++ b/tmva/pymva/test/testPyKerasRegression.C @@ -12,12 +12,11 @@ TString pythonSrc = "\ from keras.models import Sequential\n\ from keras.layers.core import Dense, Activation\n\ -from keras import initializations\n\ from keras.optimizers import SGD\n\ \n\ model = Sequential()\n\ -model.add(Dense(64, init=\"normal\", activation=\"tanh\", input_dim=2))\n\ -model.add(Dense(1, init=\"normal\", activation=\"linear\"))\n\ +model.add(Dense(64, activation=\"tanh\", input_dim=2))\n\ +model.add(Dense(1, activation=\"linear\"))\n\ model.compile(loss=\"mean_squared_error\", optimizer=SGD(lr=0.01))\n\ model.save(\"kerasModelRegression.h5\")\n";