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Agree. Think should also deprecate Short because it's also a special case of MLP and forces specifically three hidden layers (also quite hard to infer the functionality from the name; a 3 layer network can theoretically even approximate discontinuous functions to arbitrary accuracy).
'Short' includes a dropout layer and for this reason is needed in tests, if I remember correctly. I agree the name is not great and we could deprecate to "testing only".
Sheds light on the possibility of extending MLPs to handle dropout (and maybe batch norm because it's just as common). For instance, for drop out, user can pass a list of probabilities that correspond to the hidden layers and 0 would mean no dropout.
The
MLP
builder added more recently renders it redundant.The text was updated successfully, but these errors were encountered: