fabiodimarco / tf-levenberg-marquardt

Tensorflow implementation of Levenberg-Marquardt training algorithm

fabiodimarco/tf-levenberg-marquardt Issues

Error when running the model.fit on the wrapped model "Exception encountered when calling ModelWrapper.call()"
Updated 2 months ago3
Error when using the "fit" function on the wrapped model "unexpected keyword argument 'count_mode'"
Updated 3 months ago
Applying the LM optimizer for PINNs
Closed a year ago13
Error when running the code test_curve_fitting.py
Closed a year ago4
Retracing warning on latest tensorflow version
Closed a year ago1
How to save this model and load weights?
Closed a year ago12
Loss function returns 0 after first epoch for training set only when using validation data in training
Closed a year ago4
How to use LM algorithm in a custom train loop with custom loss function?
Closed a year ago11
Random results
Closed 2 years ago1
damping method and matrix solver
Closed 2 years ago3
Issue with a model that returns the gradient of a sequence
Closed 2 years ago4
Getting error when trying to wrap a model with a tf keras Normalization layer
Closed 2 years ago4
Error in resuduals when labels given as int instead of float64
Closed 2 years ago1
how can I use model_wrapper to test the model and get the predicted value?
Closed 2 years ago7
Applying Levenberg-Marquardt to physically informed neural networks (PINNs)
Closed 2 years ago9
Need help
Closed 3 years ago4
Return value for ModelWrapper fit()
Closed 3 years ago1
Combine fireTS library for NARX network with Levenberg Marquardt
Closed 3 years ago6
Input matrix is not invertible
Closed 3 years ago2
Hyperparameter tuning to avoid overfitting
Closed 3 years ago1
TypeError when trying to train model
Closed 4 years ago1
Getting a shape error while trying to fit another dataset
Closed 4 years ago4