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What is modelling in this case? Choosing a sequence of layers and fine tuning a bunch of hyper parameters? Isn't that also kinda boring?

• beforeolives 6y ago
  So true. Deep learning is kind of lazy from the point of view of the model builder. Pretty much any other technique - ML models that require feature engineering, graphical models, differential equations, optimization problems, even running simple statistical tests - each of those is more rewarding to work with than DL. The more interesting aspects of deep learning are often around engineering the whole pipeline and doing it efficiently at large scale.