When I look at the available deep learning examples, all of them concentrate on:
a) Image recognition
b) Language processing like sentiment prediction
c) Prediction based on simple numerical features (not so much of categorical features)
I’m trying to figure on how to use deep learning in my day job. My company’s data is composed of mostly categorical features, and is not Image(visual)/NLP problem domain.
Can someone point me to examples with keras which can help me get a broad set of use cases?
disclaimer: I’ve just finished Lesson3, and I suppose that maybe the future lessons would cover broader use cases…
Thank you!