Which of the following are True about a RBM? Select all that apply.
The RBM is part of the first attempt at beating the vanishing gradient and uses unlabelled data.
It improves its own accuracy through self-correction.
Its purpose is to re-create inputs and in doing so has to make decisions about which input features are more important.
It stores the relative importance of the features as weights and biases.
It predicts which group a given set of inputs falls into.
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