high level idea for a classifier of feature vectors

SimpleClassifierDNN

model = Sequential()
import keras.regularizers as kr
w_reg = kr.WeightRegularizer(l1=amountOfL1, l2=amountOfL2)
model.add(Dense(width, input_dim=x_train.shape[1], activation='relu', W_regularizer=w_reg))
model.add(Dropout(dropoutAmount))
for i in range(layerCount):
    model.add(GaussianNoise(noiseLevel))
    model.add(Dropout(dropoutAmount))
    model.add(Dense(width, activation='relu', W_regularizer=w_reg))
model.add(Dense(y_train.shape[1], activation='relu', W_regularizer=w_reg))