Hi,
I have some conceptual questions:
I trained a NN with the following arquitecture
image1299×301 6.76 KB


¿How can I extract the feature vectors from my embeddings layers?. If I’m not wrong, these feature vectors are the weights of the layers


¿Can I use the feature vectors to feed them into others models, like Randon Forest?, ¿Do I need a separate trained NN just for the embeddings, so that the can be used in others models?


If I were to train an NN just for the embbedings, ¿wich would be the target variable?. According to above arquitecture, the target needs also the continius features to be predicted.


¿What am I supposed to do in the case, let’s say, that the test/validation set contains a level for some categorical value, wich it’s not present in the training set? In that case, the trained embedding layers won’t have a feature vector for that absent level in test/validation


Thanks, and best regards