Updates
- config file from train.py accepts tensors as input
- TFRecord, add keyword argument to flag the shuffling mechanism
- Added InceptionResnetV1 in our basket of networks
- Added an option to sum the regularization losses in the CrossEntropy loss
- Implemented validation with embeddings (officially appending to the tensorboard)
- Created method
Trainer.load_variables_from_external_model
that load variables from another model in the current graph - Implemented MeanSoftMaxLossCenterLoss (http://ydwen.github.io/papers/WenECCV16.pdf)
- Patched InceptionV2 (Added the flag trainable for each variable in the model)
- Implemented TFRecordImage (read, data augmentation, scaling and casting to float32)
- Added data type as input in the TFRecord datashufflers