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bob.learn.tensorflow
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Compute VAT loss only during training.
make function available in upper layer import
Correct docs
Improve patch extractor
Merge branch 'new-features' into 'master'
[sphinx] Fixed warnings
rename fixed_batch_size to drop_remainder
tfrecords: added fixed batch shuffling and allow lists of tfrecords
[sphinx] Fixed doctests
Fixed mac tests
Incremented unit test for the Generator
Added test units for the MLP with batchnorm
Added tests for the Generator dataset
Added tests for the new losses
Fix tests
setup.py required changes for multiple features
Fixes in inception architectures
Add a new MLP architecture
Make bob tf cache command useful
Add dataset_to_tfrecord and dataset_from_tfrecord
Fix the image augmentation function
Add bob tf predict command
Add a hook to add some tensors to the summary
Fix the euclidean function so that its gradients don't become nan. Also moves the bytes_to_human function
Add virtual adversarial training loss
Add a generic Generator class alternative to BioGenerator
Add several extractors which are usefull at inference time
Add two functions to allow dynamic weighting of samples per batch
Add scripts for training keras models using keras API
small changes: nit, bug fix, small features
Merge branch 'fix-click' into 'master'
Fix the other click breakage
Merge branch 'fix-click' of gitlab.idiap.ch:bob/bob.learn.tensorflow into fix-click
Click 7 compatibility
Click 7 compatibility
Merge branch 'eval' into 'master'
eval: Handle failed copying too
Improvements to eval script
[ci] Update gitlab-ci file (depend on bob/bob.devtools) [ci skip]
Update README.rst -- fix doc-latest badge
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