individual.py 文件源码

def createNetwork(self):

        model = Sequential()

        firstlayer = True
        for l in self.layers:
            if firstlayer:
                model.add(Dense(l.size, input_shape=self.input_shape))
                firstlayer = False
            else:
                model.add(Dense(l.size))
            model.add(Activation(l.activation))
            if l.dropout > 0:
                model.add(Dropout(l.dropout))

        # final part 
        model.add(Dense(self.noutputs))
        if Config.task_type == "classification":
            model.add(Activation('softmax'))

        model.compile(loss=Config.loss,
                      optimizer=RMSprop())

        return model