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Merge branch 'monitored_training' into 'master'
Add an mnist example for estimator scripts. Fixed some bugs
remove template variables
model_dir is important for evaluation
Simplify scripts using tf.estimator API
use the dataset API and remove the un-needed extra
fix example
Improve scripts
autopep8
Move code from bob.dap to here
Merge branch 'updates' into 'master'
The documentation is all deprecated
Change all losses, data augmentation and architectures to functions
Changed LightCNN to functions issue #37
Replaced some classes to functions #37 . Still need to update some tests
I don't know why I'm commiting this. Suddenly everything was updated with nothing
Add support for databases which contain more than one sample in one file
Add support for databases which contain more than one sample in one file
small cleanup
Merge branch 'updates' into 'master'
Merge branch 'master' into 'updates'
[sphinx] Documented some classes [skip ci]
Reorganized the the TFRecord datashufflers
[sphinx] Fixed warnings
Removed some comments [skip ci]
Added the flag **trainable** for each variable in the model
Added the data type as input
Updated the resize algorithm
Implemented center loss
Created a TFRecord datashuffler special for images
Updated TFRecords
added dropout to lstm
small correction
Created mechanism to amend networks
Added center loss
Fixed color channels for the LFW images
test for mnist lstm, base datashuffler: loop through data
Debugging [skip ci]
Working on adapted networks
Injected tensors directly via config script
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