Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto Types of neural network architectures min mp4

Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto
Types of neural network architectures 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
Hash	6D6622488AC6AEEF74A1AEB2EA0ED5EEF68E509D

/2 - 1 - Types of neural network architectures [7 min].mp4	9.2 MB
/1 - 2 - What are neural networks [8 min].mp4	10.2 MB
/2 - 3 - A geometrical view of perceptrons [6 min].mp4	7.7 MB
/3 - 2 - The error surface for a linear neuron [5 min].mp4	6.2 MB
/2 - 4 - Why the learning works [5 min].mp4	6.2 MB
/8 - 4 - Echo State Networks [9 min].mp4	11.8 MB
/9 - 3 - Using noise as a regularizer [7 min].mp4	8.9 MB
/1 - 1 - Why do we need machine learning [13 min].mp4	15.8 MB
/1 - 5 - Three types of learning [8 min].mp4	9.4 MB
/10 - 1 - Why it helps to combine models [13 min].mp4	15.9 MB
/1 - 3 - Some simple models of neurons [8 min].mp4	9.7 MB
/10 - 3 - The idea of full Bayesian learning [7 min].mp4	8.8 MB
/2 - 5 - What perceptrons cant do [15 min].mp4	17.4 MB
/3 - 4 - The backpropagation algorithm [12 min].mp4	14.0 MB
/5 - 1 - Why object recognition is difficult [5 min].mp4	5.6 MB
Showing first 15 files of 49 total files