我正在按照this教程尝试使用VGG16模型进行微调，我训练了模型并使用.h5和

vgg_conv = VGG16(include_top=False,weights='imagenet',input_shape=(image_size,image_size,3))

    # Freeze the layers except the last 4 layers
    for layer in vgg_conv.layers[:-4]:
        layer.trainable = False

    model = Sequential()
    model.add(vgg_conv)
    model.add(flatten())
    model.add(Dense(256,activation='relu'))
    model.add(Dropout(0.5))
    model.add(Dense(11,activation='softmax'))

然后我尝试使用以下内容重建架构和负载权重

def create_model(self):
    model = Sequential()
    vgg_model = VGG16(include_top=False,input_shape=(150,150,3))
    model.add(vgg_model)
    model.add(flatten())
    model.add(Dense(256,activation='softmax'))
    model.load_weights(self.top_model_weights_path) # throws error
    return model

但是它会引发此错误

ValueError: Cannot feed value of shape (512,512,3,3) for Tensor 'Placeholder:0',which has shape '(3,64)'

我在做什么错了？