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bob.learn.tensorflow
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Created with Raphaël 2.2.0
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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
Merge branch 'predict' into '40-adopt-to-the-estimators-api'
Merge branch 'defaultrunconfig' into predict
Add a prediction script
adjustments
Implemented center loss
Updates the prediction function using tensors
Implemented cdist with l2norm using tensors and accuracy computation using embeddings
Hacked a hook. Still to be fixed
Created an estimator that trains a arbitrary net with either logists or embedding validation
Updated dummy net
Skip not found checkpoints
Skip not found checkpoints
Create a default runconfig
Merge branch 'monitored_training' into 'master'
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