Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto Overview of mini batch gradient descent mp4

Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto
Overview of mini batch gradient descent 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
Hash	6D6622488AC6AEEF74A1AEB2EA0ED5EEF68E509D

/6 - 1 - Overview of mini-batch gradient descent.mp4	10.1 MB
/6 - 2 - A bag of tricks for mini-batch gradient descent.mp4	15.6 MB
/7 - 4 - Why it is difficult to train an RNN.mp4	9.3 MB
/9 - 1 - Overview of ways to improve generalization [12 min].mp4	14.2 MB
/1 - 5 - Three types of learning [8 min].mp4	9.4 MB
/6 - 3 - The momentum method.mp4	10.2 MB
/7 - 1 - Modeling sequences A brief overview.mp4	21.1 MB
/7 - 2 - Training RNNs with back propagation.mp4	7.7 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
/5 - 2 - Achieving viewpoint invariance [6 min].mp4	7.2 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
/1 - 4 - A simple example of learning [6 min].mp4	6.9 MB
/2 - 4 - Why the learning works [5 min].mp4	6.2 MB
Showing first 15 files of 49 total files