e-lab / indoor-eye Goto Github PK
View Code? Open in Web Editor NEWObject recognition application for indoor environment
Object recognition application for indoor environment
Need to disable dropout
when p
= 0
, otherwise we include unnecessary complexity to the network.
No idea how and what to run. Please, add some documentation as it has been done for
After introducing new Cuda version of SpatialConvolutionMM
, RAM usage computation must be verified.
Perhaps we want to look at this? Changing parameters on the fly is something quite useful, I think... Otherwise, if we change them manually, we will end up adding and pushing modifications without real necessity...
Needed more instructions about training.
prepare_imagenet.lua
when I change training size? What's the point of chaining it in run.lua
if this does not change anything?subsample_classes
? The --help
should contain all this kind of information, otherwise it's quite helpless.A declarative, efficient, and flexible JavaScript library for building user interfaces.
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