Mercurial > pylearn
changeset 496:f13847478c6d
A few more ideas, in comments
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Tue, 28 Oct 2008 12:09:49 -0400 |
| parents | 7560817a07e8 |
| children | a272f4cbf004 |
| files | activation.py cost.py |
| diffstat | 2 files changed, 8 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/activation.py Tue Oct 28 12:09:49 2008 -0400 @@ -0,0 +1,6 @@ +""" +Activation functions. + +@todo: Make an Activation function class, with a particular contract. +That way, we can swap in Activation functions in our algorithms. +"""
--- a/cost.py Tue Oct 28 12:09:39 2008 -0400 +++ b/cost.py Tue Oct 28 12:09:49 2008 -0400 @@ -4,6 +4,8 @@ @note: All of these functions return one cost per example. So it is your job to perform a tensor.sum over the individual example losses. +@todo: Make a Cost class, with a particular contract. + @todo: It would be nice to implement a hinge loss, with a particular margin. """