Closed AbhimanyuAryan closed 5 years ago
How did you took the last trained model
i use the predict
script to apply a model to held out data
see https://github.com/matpalm/bnn/blob/master/run_sample_training_pipeline.sh#L48
augmented new data on it?
augmentation is covered in the data.py
pipeline
see https://github.com/matpalm/bnn/blob/master/data.py#L67
Instead of training all of it from scratch?
i just always train from scratch, such a tiny model
thanks you @matpalm for quick replies. Much appreciated
You mentioned
"first round of trained models hadn't seen this and when it appeared it was a constant false positive
most of this was solved already by data augmentation and none of it was a show stopper. in general the data doesn't have much variation, which is great since that allows us to get away with a simple network and training scheme. "
How did you took the last trained model & augmented new data on it? Instead of training all of it from scratch?