CourseClub NET Coursera Bayesian Methods for Machine Learning 006 Variational inference 027 Why approximate inference mp4

CourseClub NET Coursera Bayesian Methods for Machine Learning
006 Variational inference 027 Why approximate inference mp4

Name	[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.4 GB
Total Files	133
Hash	D9950C61565FB6179880197913A1B39713C5E252

/006.Variational inference/027. Why approximate inference.mp4	16.5 MB
/006.Variational inference/027. Why approximate inference.srt	6.4 KB
/006.Variational inference/028. Mean field approximation.mp4	81.1 MB
/006.Variational inference/029. Example Ising model.mp4	71.5 MB
/006.Variational inference/028. Mean field approximation.srt	11.9 KB
/006.Variational inference/030. Variational EM & Review.mp4	18.2 MB
/006.Variational inference/029. Example Ising model.srt	17.3 KB
/006.Variational inference/030. Variational EM & Review.srt	7.8 KB
/009.Variational autoencoders/054. Log derivative trick.mp4	21.8 MB
/009.Variational autoencoders/055. Reparameterization trick.mp4	26.4 MB
/009.Variational autoencoders/053. Gradient of decoder.mp4	20.2 MB
/009.Variational autoencoders/054. Log derivative trick.srt	8.2 KB
/002.Conjugate priors/006. Analytical inference.mp4	14.5 MB
/009.Variational autoencoders/052. Scaling variational EM.mp4	50.1 MB
/009.Variational autoencoders/055. Reparameterization trick.srt	9.6 KB
Showing first 15 files of 133 total files