FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning 010 Variational Dropout 057 Dropout as Bayesian procedure mp4

FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning
010 Variational Dropout 057 Dropout as Bayesian procedure mp4

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	2025-05-28 00:40
Hash	F73F5F29C36C9733B8402D09CDAAE82FAE990737

/010.Variational Dropout/057. Dropout as Bayesian procedure.mp4	36.7 MB
/010.Variational Dropout/057. Dropout as Bayesian procedure.srt	8.5 KB
/010.Variational Dropout/058. Sparse variational dropout.mp4	31.1 MB
/010.Variational Dropout/056. Learning with priors.mp4	31.9 MB
/010.Variational Dropout/058. Sparse variational dropout.srt	7.7 KB
/010.Variational Dropout/056. Learning with priors.srt	8.9 KB
/006.Variational inference/027. Why approximate inference.mp4	16.5 MB
/006.Variational inference/029. Example Ising model.mp4	71.5 MB
/009.Variational autoencoders/053. Gradient of decoder.mp4	20.2 MB
/009.Variational autoencoders/054. Log derivative trick.mp4	21.8 MB
/009.Variational autoencoders/055. Reparameterization trick.mp4	26.4 MB
/006.Variational inference/027. Why approximate inference.srt	6.4 KB
/009.Variational autoencoders/052. Scaling variational EM.mp4	50.1 MB
/006.Variational inference/028. Mean field approximation.mp4	81.1 MB
/006.Variational inference/029. Example Ising model.srt	17.3 KB
Showing first 15 files of 133 total files