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For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engineering, but, in the case of feature learning, the features are learned and not handcrafted.
3
votes
Can a neural network learn to predict a number given a binarized image of a rectangle?
It can definitely be learned, the question is the approach. It would be expensive and difficult from a modeling directive to do this Densely, so usually convolutions are the way to go. An issue with c …