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Small correction in the presentation
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massimo-rizzoli committed Feb 8, 2022
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Expand Up @@ -130,7 +130,7 @@ In particular:

* total/elapsed epochs
* network weights
* learning rate and weights the optimizer
* learning rate and weights for the optimizer
* patience for the scheduler
* current best loss
* all the initial parameters
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