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The error: “AttributeError: module ‘keras.utils.generic_utils’ has no attribute ‘populate_dict_with_module_objects’” is a common error that can show up in many ways. In this blog, we will go through some of the ways you can fix this issue. Read on.
How Does It Occur?
Here is a piece of code you use in the project:
from keras.models import Sequential from keras.layers import Dense, LSTM
When attempting to import the Keras library, you may receive the following error.
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects
How to fix error “AttributeError: module ‘keras.utils.generic_utils’ has no attribute ‘populate_dict_with_module_objects’”
The approach to handling the above error is that you can try with Tensorflow 2.4.1 to fix this problem. Let’s see specifically how to do it below:
Approach 1: Downgrade your Tensorflow version
Your problem will be resolved by downgrading Tensorflow. Simply utilize Tensorflow 2.1.0. This command can be used to install this version:
pip install tensorflow==2.1.0
Approach 2: Using tensorflow.keras instead of keras
If you use tensorflow version >2, just modify the following line:
from keras import models
from tensorflow.keras import models
If the above methods do not work, you can try the following steps:
pip uninstall tf-nightly pip uninstall tf-estimate-nightly pip install tensorflow –upgrade –force-reinstall
With Tensorflow 2.4.1, try this method:
from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, LSTM
We hope you enjoyed our article about the error. With this knowledge, we know that you can fix your error: “AttributeError: module ‘keras.utils.generic_utils’ has no attribute ‘populate_dict_with_module_objects’” quickly by following these steps! If you still have any other questions about fixing this syntax error, please leave a comment below. Thank you for reading!
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