Lets take an example and understand it. Depends on how you installed keras in the first place. What is the correct way to screw wall and ceiling drywalls? """Loads attributes of the specified name from the HDF5 group. 'django.contrib.messages', The problem was solved by uninstalling h5py and installing h5py==2.10.0 as below: Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. # Returns A place where magic is studied and practiced? keras model.load_weights . # Arguments How to enable CORS on Django REST Framework? Then I stopped the code. 'rest_framework', # This will never loop forever thanks to the test above. The solution to this error is that you dont have to decode the string. I am using Keras 2.2.4 with tensorflow backend. group: A pointer to a HDF5 group. [3, 4, 5]] [1, 3, 5]] pythonAttributeError:strobjecthasnoattributedecodepython3encodedecodedecode(utf-8)encode(utf-8).decode( Kerash5AttributeError:strobjecthasnoattributedecodekeras_to_tensorflow.py digix5menuidentificationbaselinetf1.14.0tf.https://blog.csdn.net/AugustMe/article/details/113734 windowsOKlinux,centos+python3+django2.2+mysql,AttributeError:'str'objecthasnoattribute'decode'query=query.decode(errors='replace'). 2023 All rights reserved by CodeAntenna.com. If you try to decode the Unicode string in Python 3, you will encounter an AttributeError: str object has no attribute decode. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. He has published many articles on Medium, Hackernoon, dev.to and solved many problems in StackOverflow. -> 3418 original_keras_version = f.attrs['keras_version'].decode('utf8') reshape: Reshape weights to fit the layer when the correct number Be a part of our ever-growing community. In my case: I had the same problem, solved putting compile=False in load_model: This is probably due to a model saved from a different version of keras. privacy statement. the exact same state, without any of the code overwrite: Whether we should overwrite any existing I never received this error and i used to load any models successfully.

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