François Fleuret's git - dagnn.git/search

2017-01-12	Francois Fleuret	Added DAG:dot() to generate a dot file for visualization.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Prints only the max error.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Cosmetics.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	A sentence was missing.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Typo.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	DAG:addEdge now allows to add a bunch of edges in one...	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Initial commit.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Initial commit.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Cosmetics.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Updated the headers.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	The analytic gradient checks out.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Wow, seems to work (!)	commit \| commitdiff \| tree
2017-01-12	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update. The input/output can now be nested tables.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-11	Francois Fleuret	Cosmetics.	commit \| commitdiff \| tree
2017-01-10	Francois Fleuret	Update.	commit \| commitdiff \| tree
2017-01-10	Francois Fleuret	Graph:updateOutput seems to work (!)	commit \| commitdiff \| tree
2017-01-10	Francois Fleuret	Initial commit.	commit \| commitdiff \| tree

A nn.Container to implement an arbitrary DAG of nn.Module(s).

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