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I am trying to use Resnet50 model for training.

from keras import backend as K
from keras_applications.resnet50 import ResNet50
from keras.layers import Input
from keras.callbacks import ModelCheckpoint

K.set_image_data_format('channels_last')
K.set_image_dim_ordering('tf')

input_layer = Input(shape=(224, 224, 3))
model = ResNet50(include_top=True, weights=None, classes=2)
model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])

Why is the following error showing up?

Using TensorFlow backend.
Traceback (most recent call last):
File "model.py", line 42, in <module>
model = ResNet50(include_top=True, weights=None, input_tensor=input_layer, classes=2)
File "/home/mario/.local/lib/python3.6/site-packages/keras_applications/resnet50.py", line 209, in ResNet50
data_format=backend.image_data_format(),
AttributeError: 'NoneType' object has no attribute 'image_data_format'
m_margegaj
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2 Answers2

5

I hit this issue as well.

Please try this. It works very well:

from keras.applications.resnet50 import ResNet50
Greenonline
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Go Deeper
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3

I hit a similar issue. It worked by changing keras_applications to keras.applications.

They have an issue on GitHub and still open: https://github.com/keras-team/keras-applications/issues/54

Naoto Usuyama
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