Weight classes in binary classification with Keras

Question

We know that we can pass the dictionary of weight classes in the fitting method for unbalanced data in binary classification. My question is that when using only 1 node in the output layer with sigmoid activation, can we still apply class weights during training?

model = Sequential()
model.add(Dense(64, activation='tanh',input_shape=(len(x_train[0]),)))
model.add(Dense(1, activation='sigmoid')) 

model.compile(
    optimizer=optimizer, 
    loss=loss, 
    metrics=metrics)

model.fit(
    x_train, y_train, 
    epochs=args.e, 
    batch_size=batch_size,
    class_weight={0: 1, 1: 3})