Once applied dropout is applied ,how to keep the same structure for applying on the gradient (tensorflow) -


here do:

i have nn (let's g(x))

i can output g(x) drop out (it drop out number of neurons) s fine me.

but right after, i'd compute gradient of same g(x) (same hidden units dropped out).

is there way memorize units dropped out , apply them gradient in tensorflow?


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