MNistNet.parameters#
- MNistNet.parameters(recurse: bool = True) Iterator[Parameter]#
Returns an iterator over module parameters.
This is typically passed to an optimizer.
- Args:
- recurse (bool): if True, then yields parameters of this module
and all submodules. Otherwise, yields only parameters that are direct members of this module.
- Yields:
Parameter: module parameter
Example:
>>> for param in model.parameters(): >>> print(type(param), param.size()) <class 'torch.Tensor'> (20L,) <class 'torch.Tensor'> (20L, 1L, 5L, 5L)