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Iterate over all training data only once per epoch #109
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have you solved it? |
This could be implemented but is contour to the concept of augmentation. Random samples are pulled and randomly augmented a fixed total number of times in each epoch. |
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Hi, I'm trying to make some tests using the
lidc_exp
experiement and I want to iterate over my training data only once per epoch. The actual configuration is iteration throughout a fix number of batches and each batches are picked randomly in the training datasetbatch_ixs = np.random.choice(len(class_targets_list), self.batch_size)
. Which means that some samples can be seen multiple times and others might not be seen at all.Is there a way to change this in order to go through the training set samples only once per epochs ?
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