Sergey Kurdakov

That's something wrong with your certificate bundle which is not related to this software. as you might see https://stackoverflow.com/questions/56738345/could-not-install-packages-due-to-an-environmenterror-could-not-find-a-suitable https://www.reddit.com/r/learnpython/comments/lh9us9/error_could_not_install_packages_due_to_an/ (search google for could not find suitable tls ca certificate...

replacing build_output_shape.as_list() to list(build_output_shape) where as_list is used works as a fix, no other issues with keras 3 were observed after the change

another problem with Keras 3 is when WeightNormalisation is enabled (use_weight_norm=True) because tensorflow_addons are not compatible with Keras 3.0 edit: https://github.com/tensorflow/addons master branch has fixes for import, but still there...

somehow managed to make WeightNormalization layer to run with Keras 3 and TCN . here are my attempts after which I saw TCN running https://github.com/tensorflow/addons/issues/2869

> I tried doing that but i keep getting NameError: name 'build_output_shape' is not defined it should be self.build_output_shape as the variable is member of the class

по добавлению исключений - разобрался,как добавлять. Оказывается, добавлять исключения можно, если вынести расширение на toolbar - по умолчанию расширение не выносится на toolbar и в интерфейсе настройки расширения (без тулбара),...

но если открыть другую вкладку - то новая вкладка откроется, но никакого редактора исключений там не будет. Поэтому - если вынести расширение на тулбар, то можно настраивать, а если зайти...

While trying to run TCN with Keras 3 https://github.com/philipperemy/keras-tcn/issues/256 (issue opened by another person) I found, that while Sequential model in earlier versions allows to get/set Weights in build method,...

seems youtube introduced blocking of html requests to stop spammers posting, so same problem, but on the other hand - should prevent some bot postings, still no news on youtube...

what I tried: instead of serialization/deserialization ``` layer_config = self.layer.get_config() layer_config["trainable"] = False self._naked_clone_layer = type(self.layer).from_config(layer_config) ``` that avoids build issues, but then weight could not be set