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bob
bob.learn.tensorflow
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Tiago de Freitas Pereira
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7 years ago
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Expand
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
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