dawg
dawg
I understan it like that too.
> @GRIGORR That is correct: all the candidate subnetworks (and their associated ensemble) are trained in parallel in the same TensorFlow graph. At the end of each iteration, the best...
@cweill > @shendiaomo: You are correct on both counts. For this reason, we request that the user configures the `max_iteration_steps` to be the number of repetitions desired, which unfortunately requires...
Updated OP.
Can you point me to any reference implementation? I have deriived my Builder and Generator classes from the tutorial definition but I am stuck trying to determine wehterh and als...
Edited the typos, I have a freshly fractured hand :/
> > Any update on displaying the detailed archetecture of the final result? (I’ve tried using method mentioned in #29 to find out the detailed structure in TensorBoard but as...
> WOW thanks @cweil that a good hint :-) > I've limited tensorflow knowledge, but is this true even if I've exported the adanet estimator via SavedModel, closed any python/tensorflow...
> @le-dawg: There are two ways to visualize the models in TensorBoard: > > 1. Via the `Text` tab which will display the architecture per step. > 2. Via the...