As discussed in the class 10 in-class thread, it might be useful to evaluate the quality of our encoders. An in-depth evaluation of what the encoders have actually learned could be useful.
So, I’ve started putting together a notebook to conduct experiments. Please review and share your thoughts.
We will also compare the quality of our NLP encoder backbones to the TF hub universal encoder : colab notebook link.