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seung-lab
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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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function enhancement
#60
Closed
xiuliren
closed
8 years ago
xiuliren
commented
8 years ago
some new features:
automatic test using travis
- compilation: single and double
- boundary map training
- network initialization and loading
- patch alignment
standard IO: put everything in one hdf5 file, including network, learning curve, patch(debug mode)
a debug mode to show more information and save more intermediate data for examination
changed some configuration setting to be more concise and clear. all are backward compatible.
- is_rebalance --> rebalance_mode
- is_train_optimize --> optimize_mode
more options in command line for better control of training and forward pass.
some
julia
functions to evaluate the network output, such as making an error curve.
some new features:
julia
functions to evaluate the network output, such as making an error curve.