I am currently attempting to use Google Colab to graph some machine learning algorithms. Currently, whenever I create a model in the TensorBoard Scalar section I get two folders being the 'Training' and 'Validation' folders showing the data I need. However, when I run another model, the new data gets appended to those files as opposed to a new folder.
Is there a way to make unique named models that could be compared as opposed to appended to the same graph?
Hi all,
I am currently attempting to use Google Colab to graph some machine learning algorithms. Currently, whenever I create a model in the TensorBoard Scalar section I get two folders being the 'Training' and 'Validation' folders showing the data I need. However, when I run another model, the new data gets appended to those files as opposed to a new folder.
Is there a way to make unique named models that could be compared as opposed to appended to the same graph?