Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto Modeling character strings with multiplicative connections 14 mins mp4

Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto
Modeling character strings with multiplicative connections 14 mins 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

/8 - 2 - Modeling character strings with multiplicative connections [14 mins].mp4	17.4 MB
/3 - 1 - Learning the weights of a linear neuron [12 min].mp4	14.2 MB
/4 - 2 - A brief diversion into cognitive science [4 min].mp4	5.6 MB
/5 - 3 - Convolutional nets for digit recognition [16 min].mp4	19.4 MB
/3 - 2 - The error surface for a linear neuron [5 min].mp4	6.2 MB
/3 - 3 - Learning the weights of a logistic output neuron [4 min].mp4	4.6 MB
/3 - 5 - Using the derivatives computed by backpropagation [10 min].mp4	11.7 MB
/4 - 1 - Learning to predict the next word [13 min].mp4	15.0 MB
/4 - 3 - Another diversion The softmax output function [7 min].mp4	8.4 MB
/5 - 4 - Convolutional nets for object recognition [17min].mp4	24.1 MB
/9 - 2 - Limiting the size of the weights [6 min].mp4	7.7 MB
/2 - 3 - A geometrical view of perceptrons [6 min].mp4	7.7 MB
/5 - 2 - Achieving viewpoint invariance [6 min].mp4	7.2 MB
/8 - 3 - Learning to predict the next character using HF [12 mins].mp4	14.6 MB
/1 - 2 - What are neural networks [8 min].mp4	10.2 MB
Showing first 15 files of 49 total files