Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto Learning the weights of logistic output neuron min mp4

Coursera Neural Networks and Machine Learning Geoffrey Hinton University of Toronto
Learning the weights of logistic output neuron 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	2025-03-27 23:29
Hash	BA102098008A21226094AFEC8A2C6A7F25276E5C

/3 - 3 - Learning the weights of a logistic output neuron [4 min].mp4	4.6 MB
/3 - 1 - Learning the weights of a linear neuron [12 min].mp4	14.2 MB
/4 - 3 - Another diversion The softmax output function [7 min].mp4	8.4 MB
/4 - 1 - Learning to predict the next word [13 min].mp4	15.0 MB
/9 - 2 - Limiting the size of the weights [6 min].mp4	7.7 MB
/1 - 3 - Some simple models of neurons [8 min].mp4	9.7 MB
/3 - 2 - The error surface for a linear neuron [5 min].mp4	6.2 MB
/5 - 3 - Convolutional nets for digit recognition [16 min].mp4	19.4 MB
/8 - 3 - Learning to predict the next character using HF [12 mins].mp4	14.6 MB
/9 - 3 - Using noise as a regularizer [7 min].mp4	8.9 MB
/2 - 3 - A geometrical view of perceptrons [6 min].mp4	7.7 MB
/1 - 5 - Three types of learning [8 min].mp4	9.4 MB
/3 - 5 - Using the derivatives computed by backpropagation [10 min].mp4	11.7 MB
/4 - 2 - A brief diversion into cognitive science [4 min].mp4	5.6 MB
/10 - 3 - The idea of full Bayesian learning [7 min].mp4	8.8 MB
Showing first 15 files of 49 total files