Sebastian Raschka

Yes, I think this is what AlphaFold was doing and turned out to be successful. Basically, with DL we don't want to through "all" (domain) knowledge out the window but...

This is interesting. I think these are general questions someone might ask for any sort of machine learning in any kind of field though. So, maybe we want to highlight...

I see. From the titles, it wasn't clear that base line models refer to "traditional" machine learning/statistical models. So basically, I would go a step further though and exclude SVMs...

Sure, I agree. If that's feasible, I'd say the "more the merrier" :). However, reminds me I just ran nested CV for algo comparison on 4 algos with very small...

> An hour is sort of inconsequential, since using DL (esp after hyperparameter optimization) for those same tasks will take days. Maybe we should suggest that if the user isn't...

I may be in the minority, but I must say that I am not a big fan of wrappers and toolkits on top of the main libraries because they tend...

> I don't think abstraction necessarily means ignoring the theory and caveats of a set of algorithms True, I agree. But I think in this context of modern DL frameworks...

> I would argue that for tools such as Keras Sure, I agree. I was already thinking of Keras/tf.keras as established DL libraries, not necessarily wrappers (sure they wrap other...

> "Deep learning really shines on unstructured, not structured data" in the current rules list, which I think is close to (but not exactly) the opposite of what Andy suggested....

Yeah, sth along the lines of that. I.e., deep learning basically incorporates the representation learning instead of the traditional way of preprocessing the data into a chosen representation. Top of...