Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto The backpropagation algorithm 12 min mp4

Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto
The backpropagation algorithm 12 min mp4

Name	Coursera_Neural-Networks-and-Machine-Learning_Geoffrey-Hinton_University-of-Toronto	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	558.5 MB
Total Files	49
Last Seen	2025-04-13 23:35
Hash	BA102098008A21226094AFEC8A2C6A7F25276E5C

/3 - 4 - The backpropagation algorithm [12 min].mp4	14.0 MB
/2 - 4 - Why the learning works [5 min].mp4	6.2 MB
/1 - 5 - Three types of learning [8 min].mp4	9.4 MB
/2 - 5 - What perceptrons cant do [15 min].mp4	17.4 MB
/8 - 4 - Echo State Networks [9 min].mp4	11.8 MB
/1 - 2 - What are neural networks [8 min].mp4	10.2 MB
/5 - 1 - Why object recognition is difficult [5 min].mp4	5.6 MB
/1 - 1 - Why do we need machine learning [13 min].mp4	15.8 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
/10 - 3 - The idea of full Bayesian learning [7 min].mp4	8.8 MB
/10 - 5 - Dropout [9 min].mp4	10.2 MB
/5 - 2 - Achieving viewpoint invariance [6 min].mp4	7.2 MB
/9 - 3 - Using noise as a regularizer [7 min].mp4	8.9 MB
/1 - 3 - Some simple models of neurons [8 min].mp4	9.7 MB
Showing first 15 files of 49 total files