I see, thanks Pascal! Shame map_variables doesn't do the trick in this
case. I think I'll go with the manual approach you recommended as it seems
the most efficient and relatively straight forward in my case.
On Friday, October 14, 2016 at 5:13:53 PM UTC-7, Pascal Lamblin wrote:
>
> On Sat,
On Sat, Oct 15, 2016, Pascal Lamblin wrote:
> Another option, still experimental, may be the `map_variables` function
> in scan_modules/scan_utils.
There seem to be some challenges regarding scalar constants with that
function, but I was able to do the following:
>>>
Hello,
I'm trying to use theano.clone to implement dropout in my MLP network.
Because I want to apply dropout at multiple layers, I pass the clone call
multiple key value pairs to its replacement parameter:
replace={layer1:mask*layer1, layer2:mask*layer2, etc} however the graph
that's
