I want to create a
tensorflow that does the following:
Classify a recipe headline and find out the topic. For instance
super yummy cheesy cake should result in
cheese cake and so on.
I thought for going with
tensorflow, but need some help in getting things started.
My strategy is like that:
- Normalize the headlines so
cheese cakefor instance and so on.
Having a dataset like:
super yummy cheesecake | cheese cake
summer strawberry cake | strawberry cake
Train the model to learn what matters for the topic and what is just additional information.
The way, the dataset is modeled, I have no static lables, as I understand. This makes things complicated, right?
As this is my first AI experiment with
tensorflow, I don't really know if this will work out, or if I should go with another strategy, therefore I need your help.