Mercurial > pylearn

changeset 1250:ab1db1837e98

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JB's plugin: Reply to JB
author Olivier Delalleau <delallea@iro>
date Thu, 23 Sep 2010 13:36:04 -0400
parents fda31afc0df6
children 70ca63c05672
files doc/v2_planning/arch_src/plugin_JB_comments_YB.txt
diffstat 1 files changed, 5 insertions(+), 0 deletions(-) [+]
line wrap: on
line diff
--- a/doc/v2_planning/arch_src/plugin_JB_comments_YB.txt	Thu Sep 23 13:29:05 2010 -0400
+++ b/doc/v2_planning/arch_src/plugin_JB_comments_YB.txt	Thu Sep 23 13:36:04 2010 -0400
@@ -100,3 +100,8 @@
   with a list of scripts and instructions for what to do with them (especially
   because the README often never gets written).
 
+OD replies: I can see such a framework being useful for high-level experiment
+design (the "big picture", or how to plug different components together). What
+I am not convinced about is that we should also use it to write a standard
+serial machine learning algorithm (e.g. DBN training with fixed
+hyper-parameters).