本文介绍了无法将图层添加到已保存的Keras模型. “模型"对象没有属性“添加"的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我使用model.save()保存了模型.我正在尝试重新加载模型并添加几层并调整一些超参数,但是,它会引发AttributeError.

I have a saved a model using model.save(). I'm trying to reload the model and add a few layers and tune some hyper-parameters, however, it throws the AttributeError.

使用load_model()加载模型.

我想我缺少了解如何将图层添加到保存的图层.如果有人可以指导我在这里,那就太好了.我是深度学习和使用keras的新手,所以我的要求可能很愚蠢.

I guess I'm missing understanding how to add layers to saved layers. If someone can guide me here, it will be great. I'm a novice to deep learning and using keras, so probably my request would be silly.

摘要:

prev_model = load_model('final_model.h5') # loading the previously saved model.

prev_model.add(Dense(256,activation='relu'))
prev_model.add(Dropout(0.5))
prev_model.add(Dense(1,activation='sigmoid'))

model = Model(inputs=prev_model.input, outputs=prev_model(prev_model.output))

及其引发的错误:

Traceback (most recent call last):
  File "image_classifier_3.py", line 39, in <module>
    prev_model.add(Dense(256,activation='relu'))
AttributeError: 'Model' object has no attribute 'add'

我知道添加图层适用于新的Sequential()模型,但是如何添加到现有的保存模型中呢?

I know adding layers works on new Sequential() model, but how do we add to existing saved models?

推荐答案

add方法仅存在于顺序模型( Sequential),这是一个功能更强大但更复杂的功能模型( Model). load_model将始终返回Model实例,这是最通用的类​​.

The add method is present only in sequential models (Sequential class), which is a simpler interface to the more powerful but complicated functional model (Model class). load_model will always return a Model instance, which is the most generic class.

您可以看一下示例,以了解如何组合不同的模型,但是最终的想法是Model的行为与其他任何层都非常相似.因此,您应该可以:

You can look at the example to see how you can compose different models, but the idea is that, in the end, a Model behaves pretty much like any other layer. So you should be able to do:

prev_model = load_model('final_model.h5') # loading the previously saved model.

new_model = Sequential()
new_model.add(prev_model)
new_model.add(Dense(256,activation='relu'))
new_model.add(Dropout(0.5))
new_model.add(Dense(1,activation='sigmoid'))

new_model.compile(...)

这篇关于无法将图层添加到已保存的Keras模型. “模型"对象没有属性“添加"的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

05-27 01:54
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