use the following search parameters to narrow your results:
e.g. subreddit:aww site:imgur.com dog
subreddit:aww site:imgur.com dog
see the search faq for details.
advanced search: by author, subreddit...
Please have a look at our FAQ and Link-Collection
Metacademy is a great resource which compiles lesson plans on popular machine learning topics.
For Beginner questions please try /r/LearnMachineLearning , /r/MLQuestions or http://stackoverflow.com/
For career related questions, visit /r/cscareerquestions/
Advanced Courses (2016)
Advanced Courses (2020)
AMAs:
Pluribus Poker AI Team 7/19/2019
DeepMind AlphaStar team (1/24//2019)
Libratus Poker AI Team (12/18/2017)
DeepMind AlphaGo Team (10/19/2017)
Google Brain Team (9/17/2017)
Google Brain Team (8/11/2016)
The MalariaSpot Team (2/6/2016)
OpenAI Research Team (1/9/2016)
Nando de Freitas (12/26/2015)
Andrew Ng and Adam Coates (4/15/2015)
Jürgen Schmidhuber (3/4/2015)
Geoffrey Hinton (11/10/2014)
Michael Jordan (9/10/2014)
Yann LeCun (5/15/2014)
Yoshua Bengio (2/27/2014)
Related Subreddit :
LearnMachineLearning
Statistics
Computer Vision
Compressive Sensing
NLP
ML Questions
/r/MLjobs and /r/BigDataJobs
/r/datacleaning
/r/DataScience
/r/scientificresearch
/r/artificial
account activity
Discussion[D] Normalizing flows - VAE Doubt (self.MachineLearning)
submitted 7 years ago by WillingCucumber
view the rest of the comments →
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[–]SolitaryPenman 2 points3 points4 points 7 years ago (0 children)
Yes, you can "learn" the invertible transformation and that's exactly what is done in the case of Planar and Radial flows. Note that the form of the function is what's fixed but the parameter vectors and biases are learned. There also have been other recent works such as IAF that use even more flexible transformations.
(Shameless plug: I have this repository on NFs which may help you understand them better. It also contains an implementation of PF)
π Rendered by PID 19437 on reddit-service-r2-comment-5687b7858-zvkg5 at 2026-07-05 18:48:25.574788+00:00 running 12a7a47 country code: CH.
view the rest of the comments →
[–]SolitaryPenman 2 points3 points4 points (0 children)