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I'm a bit confused about the division between training set, test set and validation set. In creating the solver.prototxt file that defines the train parameters i have to define test_iter parameter ( that seems to be the number of iterations, that is how many batches of test images were sent into the network ). Why i have to define this parameter for training? Is test set used during training as validation set? Or does caffe do training and test at the same time ?
The text was updated successfully, but these errors were encountered:
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I'm a bit confused about the division between training set, test set and validation set. In creating the solver.prototxt file that defines the train parameters i have to define test_iter parameter ( that seems to be the number of iterations, that is how many batches of test images were sent into the network ). Why i have to define this parameter for training? Is test set used during training as validation set? Or does caffe do training and test at the same time ?
The text was updated successfully, but these errors were encountered: