Update the old interfaces (#7252)

docs/templates/optimizers.md

@@ -7,7 +7,7 @@ An optimizer is one of the two arguments required for compiling a Keras model:
 from keras import optimizers
 
 model = Sequential()
-model.add(Dense(64, init='uniform', input_shape=(10,)))
+model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
 model.add(Activation('tanh'))
 model.add(Activation('softmax'))
 
@@ -47,4 +47,4 @@ sgd = optimizers.SGD(lr=0.01, clipvalue=0.5)
 
 ---
 
-{{autogenerated}}
+{{autogenerated}}

examples/mnist_net2net.py

@@ -313,7 +313,7 @@ def make_deeper_student_model(teacher_model, train_data,
     # add another fc layer to make original fc1 deeper
     if init == 'net2deeper':
         # net2deeper for fc layer with relu, is just an identity initializer
-        model.add(Dense(64, init='identity',
+        model.add(Dense(64, kernel_initializer='identity',
                         activation='relu', name='fc1-deeper'))
     elif init == 'random-init':
         model.add(Dense(64, activation='relu', name='fc1-deeper'))