You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
As I read the original paper and the repo from deepmind, it seems to me that the LSTM optimizer should only take 1 variable as input to optimize and save the LSTM state for each variables. In other words, with an arbitrary number of parameters, it just updates one after another. While in this implementation, the dimension of the optimizer is fixed as the number of the optimizee.
The text was updated successfully, but these errors were encountered:
As I read the original paper and the repo from deepmind, it seems to me that the LSTM optimizer should only take 1 variable as input to optimize and save the LSTM state for each variables. In other words, with an arbitrary number of parameters, it just updates one after another. While in this implementation, the dimension of the optimizer is fixed as the number of the optimizee.
The text was updated successfully, but these errors were encountered: