Comments (4)
Hi @saddamhijazi I am using version 2.10.0 right now and it works. Maybe some of the last changes that I have done are not compatible with older versions of Tensorflow. Is it a problem for you to use a more recent version?
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@fabiodimarco Thank you very much for your answer, I have tried the code on Tensorflow 2.11 and it worked. May I ask you if the code could be installed using pip or something ? The way I run it now is just by adding the path of the folder to .bashrc like this:
export PYTHONPATH="${PYTHONPATH}:$HOME/tf-levenberg-marquardt"
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@saddamhijazi at the moment it can not be installed using pip install. But actually in the next days I'll find some time do it. I'll let you know when I do the change.
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Thank you very much, I will close this issue here and I will open another one which is related to my application of the LM optimizer for physics informed neural networks. Thank you.
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Related Issues (20)
- Getting a shape error while trying to fit another dataset HOT 4
- how can I use model_wrapper to test the model and get the predicted value? HOT 7
- Getting error when trying to wrap a model with a tf keras Normalization layer HOT 4
- Issue with a model that returns the gradient of a sequence HOT 4
- damping method and matrix solver HOT 3
- Random results HOT 1
- How to save this model and load weights? HOT 12
- How to use LM algorithm in a custom train loop with custom loss function? HOT 11
- Retracing warning on latest tensorflow version HOT 1
- Loss function returns 0 after first epoch for training set only when using validation data in training HOT 4
- TypeError when trying to train model HOT 1
- Applying the LM optimizer for PINNs HOT 13
- Hyperparameter tuning to avoid overfitting HOT 1
- Input matrix is not invertible HOT 2
- Combine fireTS library for NARX network with Levenberg Marquardt HOT 6
- Return value for ModelWrapper fit() HOT 1
- Need help HOT 4
- Applying Levenberg-Marquardt to physically informed neural networks (PINNs) HOT 9
- Error in resuduals when labels given as int instead of float64 HOT 1
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