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bob.learn.tensorflow
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Implemented transfer mechanism
Merge branch 'predict' into 'master'
add more documentation
refactor code
Add an example. Remove preprocessor
fix python 3 bytes issue
Fix and enable tests
improve multisample handling
Fix repeats. Skip existing ones
remove the graph
Make label and key list before repeating
Do not create the dataset in the script
Create the graph early enough
Dataset
Account for non-parallel jobs
Add a prediction script for bio databases
improve comments
Merge branch 'issue_43' into 'master'
Merge branch 'cleanup_tfrecord_code_duplication' into 'master'
Solving python3 issue
Appended the keyword as a feature
changed the triplet_loss to triple_loss_deprecated
Removed code duplication between TFRecord and TFRecordImage.
Created an estimator for triplet networks
Implemented random triplet batching
Merge branch 'predict' into 'master'
flatten layers properly
add more functionality. Change default feature
Use read_original_data
Merge branch '40-adopt-to-the-estimators-api' into 'master'
Appended png files
Fixed test units
Fixed test units
Created estimator that handles siamese nets
Moved the estimators stuff from the trainers to the estimators module
Created mechanism to batch siamease data
Created a dataset to fetch directories
Moved tfrecord module from utils to dataset
Added summaries
- Moved the tfrecords.py from utils to dataset module
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