I am having some trouble deciding how to create embeddings for a categorical feature for my DNN model. The feature consists of a non fixed set of tags.
The feature is like:
column = [['Adventure','Animation','Comedy'], ['Adventure','Comedy'], ['Adventure','Children','Comedy']
I would like to do this with
tensorflow so I know the tf.feature_column module should work, I just don't know which version to use.