FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning 006 Variational inference 027 Why approximate inference srt

FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning
006 Variational inference 027 Why approximate inference srt

Name	[FreeCoursesOnline.Me] Coursera - Bayesian Methods for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.4 GB
Total Files	133
Last Seen	2025-05-25 02:21
Hash	F73F5F29C36C9733B8402D09CDAAE82FAE990737

/006.Variational inference/027. Why approximate inference.srt	6.4 KB
/006.Variational inference/027. Why approximate inference.mp4	16.5 MB
/006.Variational inference/028. Mean field approximation.srt	11.9 KB
/006.Variational inference/029. Example Ising model.srt	17.3 KB
/006.Variational inference/028. Mean field approximation.mp4	81.1 MB
/006.Variational inference/030. Variational EM & Review.srt	7.8 KB
/006.Variational inference/029. Example Ising model.mp4	71.5 MB
/006.Variational inference/030. Variational EM & Review.mp4	18.2 MB
/009.Variational autoencoders/054. Log derivative trick.srt	8.2 KB
/009.Variational autoencoders/055. Reparameterization trick.srt	9.6 KB
/009.Variational autoencoders/053. Gradient of decoder.srt	7.8 KB
/009.Variational autoencoders/054. Log derivative trick.mp4	21.8 MB
/002.Conjugate priors/006. Analytical inference.srt	5.0 KB
/009.Variational autoencoders/052. Scaling variational EM.srt	19.4 KB
/009.Variational autoencoders/055. Reparameterization trick.mp4	26.4 MB
Showing first 15 files of 133 total files