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This tutorial series is one of the best in the last few years. I have no doubts it is the same level as other paid courses as the Deep Learning Specialization. I am interested in Normalizing flow, and there is little information on the internet. So, having this course is a great learning tool. I would like to request the possibility of you extending your Normalizing Flow course to explain the Householder transformation and why it is interesting in Invertible Neural Networks, as well as possible applications like Householder permutation or even other Invertible transformations, like those based on Householder or further orthogonal transformation.
The text was updated successfully, but these errors were encountered:
Hi, thanks for your kind words! Householder flows are indeed an interesting topic. If I find the time, I will try to add a tutorial on them at some point :)
Hello, I hope you are well.
This tutorial series is one of the best in the last few years. I have no doubts it is the same level as other paid courses as the Deep Learning Specialization. I am interested in Normalizing flow, and there is little information on the internet. So, having this course is a great learning tool. I would like to request the possibility of you extending your Normalizing Flow course to explain the Householder transformation and why it is interesting in Invertible Neural Networks, as well as possible applications like Householder permutation or even other Invertible transformations, like those based on Householder or further orthogonal transformation.
The text was updated successfully, but these errors were encountered: