Neural nets hinton 16 OPTIONAL Bayesian optimization of hyper parameters 13 min mp4

Neural nets hinton
16 OPTIONAL Bayesian optimization of hyper parameters 13 min mp4

Name	neural_nets_hinton	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	927.5 MB
Total Files	78
Last Seen	2025-04-07 23:30
Hash	743C16A18756557A67478A7570BAF24A59F9CDA6

/16 - 3 - OPTIONAL- Bayesian optimization of hyper-parameters [13 min].mp4	16.6 MB
/16 - 4 - OPTIONAL- The fog of progress [3 min].mp4	2.9 MB
/16 - 2 - OPTIONAL- Hierarchical Coordinate Frames [10 mins].mp4	11.7 MB
/9 - 5 - The Bayesian interpretation of weight decay [11 min].mp4	12.9 MB
/16 - 1 - OPTIONAL- Learning a joint model of images and captions [10 min].mp4	14.5 MB
/10 - 4 - Making full Bayesian learning practical [7 min].mp4	8.5 MB
/13 - 1 - The ups and downs of back propagation [10 min].mp4	12.4 MB
/2 - 3 - A geometrical view of perceptrons [6 min].mp4	7.7 MB
/1 - 4 - A simple example of learning [6 min].mp4	6.9 MB
/10 - 2 - Mixtures of Experts [13 min].mp4	15.7 MB
/13 - 3 - Learning sigmoid belief nets [12 min].mp4	14.3 MB
/14 - 5 - OPTIONAL VIDEO- RBMs are infinite sigmoid belief nets [17 mins].mp4	20.4 MB
/3 - 4 - The backpropagation algorithm [12 min].mp4	14.0 MB
/1 - 1 - Why do we need machine learning- [13 min].mp4	15.8 MB
/1 - 3 - Some simple models of neurons [8 min].mp4	9.7 MB
Showing first 15 files of 78 total files