Tilak

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@21564669, Could you please take a look at this official doc [link](https://github.com/keras-team/keras/blob/master/CONTRIBUTING.md) and create the PR for the above mentioned issue. Thank you!

@gowthamkpr, I was able to reproduce the issue in tensorflow v2.9 and nightly. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/4e05333c569edb6b0ccc002798f5ecff/untitled689.ipynb).

@PWZER, I tried to execute the given code on tensorflow nightly version and found that Keras training speed is 37ms/step. It is similar to the Estimator training speed. Kindly find...

@PWZER, We can see that the tf-nightly version you are using v1.12.1, whereas if you check the gist attached, on tf-nightly version Keras training speed is 37ms/step. It is similar...

@arisliang, The related PR patch gets merged and I can see **show_trainable** argument in keras `master`. https://github.com/mfidabel/keras/blob/master/keras/utils/layer_utils.py ![image](https://user-images.githubusercontent.com/81610181/195360142-b17f2695-a08e-463b-abfb-9b522d5c8a9a.png) Could you please take a look at the layer_utils.py file and let...

@mwalmsley, I was facing a different error while executing the mentioned code. Kindly find the [gist](https://colab.research.google.com/gist/tilakrayal/46c757fee80592da3834d3451242ff88/custom_training_with_dict_metric.ipynb) and let us know if you are facing the same error. Thank you!

@fatimaBM, I was facing a different error while executing the mentioned code. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/132963d13568e5d98ea1388388f9c6b3/untitled724.ipynb) and provide the required dependencies. Also In some cases the downloaded...

@sleepingcat4, To expedite the trouble-shooting process, could you please provide a complete code and the TensorFlow version you are using. Thank you!

@LukasMut, Could you please elaborate about your Feature. Also, please specify the Use Cases for this feature. Thank you!

@DSOTM-pf, I tried to execute the mentioned code with the dataset attached and was able to fetch the better f1-score than the older versions. Kindly find the gist of it...