Understanding weight matrices (Deep Ensemble vs Batch Ensemble vs Rank-1 BNN)- part 1
This is the part 1 of Understanding weight matrices and parameters count of different deep learning ensemble models used for Uncertainty Estimation – Deep Ensemble, Batch Ensemble & Rank-1 BNN.
In this video we are not going to cover in depth about the uncertainty estimation or the ensemble approaches. We will see for the three approaches
On a high level how the weight matrices are defined
Code a simple MLP for deep ensemble , batch ensemble and rank-1 BNN
Compute the parameters for all the above
then convince us mathematically about the number of parameters in each of this paper make sense
and show the comparison through graph
GitHub Repo: https://github.com/anujshah1003/uncer...
![Undertale Comics MIX RUS DUB [Determination Pie] - ПОДРОСТКИ](https://images.videosashka.com/watch/DMGw6R07mfI)
