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bob.learn.tensorflow
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Fixed docs [skip ci]
Implemented random rotate for images
Merge branch 'eval' into 'master'
Handle folder checkpoints
Add a histograms option to simplecnn
Create a checkpoint file for eval
Fix the function name
replace tf.contrib.data with tf.data
Implement model saving in bob tf eval. Fixes #54
Merge branch 'loss' into 'master'
Merge branch 'simplecnn' into 'master'
Add moving average and transfer learning to simplecnn
Pass logits and labels to losses using kwargs
Add exponentional moving average to training of simplecnn
added support for 2, 3 layered lstm
Write a user guide
Merge branch 'amir' into 'master'
Add batch norm to simplecnn
Remove unused variable
Skip builds on non linux machines
Fix test_estimator_scripts
Fix the tests for db_to_tfrecords
Add more logging [skip ci]
Fix the batch normalization updates
improve the architecture definition
Make sure labels are integers
Account for when regularization is not used [skip ci]
remove amigous comment
Add regularization to patchcnn
Remove old code
Change the statistics script to use biogenerators
Bug fixes in the arch
Complete patchCNN
Add a published patch-based CNN for face PAD architecture
Make the logging less verbose
Convert commands to click commands
Remove the unused steps parameter
Mention where the model will be saved
key is in bytes format in Python 3
[ci] Port to the new CI
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