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seung-lab / znn-release

Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
GNU General Public License v3.0
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Silent logging #22

Closed nicholasturner1 closed 9 years ago

nicholasturner1 commented 9 years ago

It might be helpful to have the training (and possibly the forward-pass) record a log of the samples passed to the network. That way, if we get an obscure error (segfault, etc.), we can more easily replicate the bug. Logging the samples could be as easy as identifying the sample filename and the deviance from the middle.

nicholasturner1 commented 9 years ago

Added (optional) "logging" option to configuration file, and recording the configuration for a given run tagged with a timestamp.

I have plans for logging: (1) Data samples fed to the network, by sample id, offset, and transformations performed before the forward pass (2) Learning Curve statistics alongside the above information

Hopefully this combination, though slightly redundant, will make debugging easier