这是我的resnet50代码,运行此代码时出现错误
if model_name == "vgg16":
base_model = VGG16(weights=weights)
model = Model(input=base_model.input, output=base_model.get_layer('fc1').output)
image_size = (224, 224)
elif model_name == "vgg19":
base_model = VGG19(weights=weights)
model = Model(input=base_model.input, output=base_model.get_layer('fc1').output)
image_size = (224, 224)
elif model_name == "resnet50":
base_model = ResNet50(weights=weights)
model = Model(input=base_model.input, output=base_model.get_layer('flatten').output)
image_size = (224, 224)
elif model_name == "inceptionv3":
base_model = InceptionV3(include_top=include_top, weights=weights, input_tensor=Input(shape=(299,299,3)))
model = Model(input=base_model.input, output=base_model.get_layer('custom').output)
image_size = (299, 299)
elif model_name == "inceptionresnetv2":
base_model = InceptionResNetV2(include_top=include_top, weights=weights, input_tensor=Input(shape=(299,299,3)))
model = Model(input=base_model.input, output=base_model.get_layer('custom').output)
image_size = (299, 299)
elif model_name == "mobilenet":
base_model = MobileNet(include_top=include_top, weights=weights, input_tensor=Input(shape=(224,224,3)), input_shape=(224,224,3))
model = Model(input=base_model.input, output=base_model.get_layer('custom').output)
image_size = (224, 224)
elif model_name == "xception":
base_model = Xception(weights=weights)
model = Model(input=base_model.input, output=base_model.get_layer('avg_pool').output)
image_size = (299, 299)
else:
base_model = None
我也遇到此错误,并且扁平层没有出现:
[状态]开始时间-2019-03-20 16:32
ValueError Traceback (most recent call last)
<ipython-input-6-c3009980d5d0> in <module>()
59 elif model_name == "resnet50":
60 base_model = ResNet50(weights=weights)
---> 61 model = Model(input=base_model.input, output=base_model.get_layer('flatten').output)
62 image_size = (224, 224)
~/anaconda3/lib/python3.6/site-packages/keras/engine/network.py in get_layer(self, name, index)
356 return layer
357
--> 358 raise ValueError('No such layer: ' + name)
359
360 @property
ValueError: No such layer: flatten
我该如何解决?