Neural Networks for Machine Learning 16 OPTIONAL Bayesian optimization of hyper parameters 13 min mp4

Neural Networks for Machine Learning
16 OPTIONAL Bayesian optimization of hyper parameters 13 min mp4

Name	Neural Networks for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	927.5 MB
Total Files	79
Hash	C44EA3E669C895B7EF510B09CA044C03B500DC8F

/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
/9 - 5 - The Bayesian interpretation of weight decay [11 min].mp4	12.9 MB
/16 - 2 - OPTIONAL Hierarchical Coordinate Frames [10 mins].mp4	11.7 MB
/16 - 1 - OPTIONAL Learning a joint model of images and captions [10 min].mp4	14.5 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
/14 - 5 - OPTIONAL VIDEO RBMs are infinite sigmoid belief nets [17 mins].mp4	20.4 MB
/10 - 2 - Mixtures of Experts [13 min].mp4	15.7 MB
/13 - 3 - Learning sigmoid belief nets [12 min].mp4	14.3 MB
/3 - 4 - The backpropagation algorithm [12 min].mp4	14.0 MB
/10 - 4 - Making full Bayesian learning practical [7 min].mp4	8.5 MB
/1 - 4 - A simple example of learning [6 min].mp4	6.9 MB
/14 - 1 - Learning layers of features by stacking RBMs [17 min].mp4	21.0 MB
/12 - 2 - OPTIONAL VIDEO More efficient ways to get the statistics [15 mins].mp4	17.8 MB
Showing first 15 files of 79 total files