AttributeError: module keras.engine has no attribute layer error typically occurs when “there is an incompatibility between the versions of Keras and TensorFlow.”
Several factors can contribute to the occurrence of the “AttributeError: module keras.engine has no attribute layer” error. By identifying the potential causes, you can efficiently troubleshoot and resolve the issue.
Some common causes include:
- The Keras module cannot find the specified layer attribute in the engine module. The layer attribute is a fundamental part of Keras that allows constructing and manipulating neural network layers.
- Incompatibility between Keras versions.
- Typographical errors in the code.
- Incorrect Keras installation.
- Misuse or incorrect usage of Keras layers.
- Compatibility issues with backend frameworks.
Troubleshooting Steps to Fix the “AttributeError” Issue
Solution 1: Upgrade the Keras and TensorFlow
pip install keras --upgrade pip install tensorflow --upgrade
And Here is the latest version of Keras.
You can verify the Keras installation on your system using the below code.
import keras print(keras.__version__)
You can also verify the TensorFlow version using the below code.
import tensorflow as tf print(tf.__version__)
Solution 2: Keras and TensorFlow Upgrade using conda
You can upgrade the Tensorflow or Keras using the below command.
conda install -c conda-forge tensorflow conda install -c conda-forge keras
Solution 3: Changing the Import Statement
Import like this to avoid the issue.
import keras.engine as KE
Solution 4: Confirm the Correct Usage of Keras Layers
Double-check the usage of Keras layers in your code. Verify that you are correctly utilizing the layer attribute and referring to the appropriate modules and objects. Consult the Keras documentation and examples for guidance if needed.
Solution 5: Check Compatibility with Backend Frameworks
Keras supports multiple backend frameworks, such as TensorFlow and Theano. Ensure that your chosen backend is compatible with the Keras version you are using. Refer to the Keras documentation for information on backend compatibility and configuration.