Closed mahmoudEltaher closed 3 years ago
Hi,
You need to specify the number of epochs. Please have a look at the arguments provided in the train_network.py script.
Best, Despoina
Hi @paschalidoud
Thanks for your collaboration.
I know how i can specify the number of epochs.
But i'm asking about this part in the paper "To further increase parsimony, we then fix all parameters except γ for additional 5k iterations. This step removes remaining overlapping primitives as also observed in [37]."
how i can find this condition in the code ?
Kindly I want to inquire about the probability existence
In the paper ,it said that the probability is trained after 20000 epochs ,how i can find this condition in the code ?