Coursera - Neural Networks and Machine Learning, Geoffrey Hinton University of Toronto

seeders: 3
leechers: 3
Added on January 15, 2014 by PCWalkerin Other > Tutorials
Torrent verified.



Coursera - Neural Networks and Machine Learning, Geoffrey Hinton University of Toronto (Size: 532.59 MB)
 1 - 1 - Why do we need machine learning [13 min].mp415.05 MB
 1 - 2 - What are neural networks [8 min].mp49.76 MB
 1 - 3 - Some simple models of neurons [8 min].mp49.26 MB
 1 - 4 - A simple example of learning [6 min].mp46.57 MB
 1 - 5 - Three types of learning [8 min].mp48.96 MB
 10 - 1 - Why it helps to combine models [13 min].mp415.12 MB
 10 - 2 - Mixtures of Experts [13 min].mp414.98 MB
 10 - 3 - The idea of full Bayesian learning [7 min].mp48.39 MB
 10 - 4 - Making full Bayesian learning practical [7 min].mp48.13 MB
 10 - 5 - Dropout [9 min].mp49.69 MB
 2 - 1 - Types of neural network architectures [7 min].mp48.78 MB
 2 - 2 - Perceptrons The first generation of neural networks [8 min].mp49.39 MB
 2 - 3 - A geometrical view of perceptrons [6 min].mp47.32 MB
 2 - 4 - Why the learning works [5 min].mp45.9 MB
 2 - 5 - What perceptrons cant do [15 min].mp416.57 MB
 3 - 1 - Learning the weights of a linear neuron [12 min].mp413.52 MB
 3 - 2 - The error surface for a linear neuron [5 min].mp45.89 MB
 3 - 3 - Learning the weights of a logistic output neuron [4 min].mp44.37 MB
 3 - 4 - The backpropagation algorithm [12 min].mp413.35 MB
 3 - 5 - Using the derivatives computed by backpropagation [10 min].mp411.15 MB
 4 - 1 - Learning to predict the next word [13 min].mp414.28 MB
 4 - 2 - A brief diversion into cognitive science [4 min].mp45.31 MB
 4 - 3 - Another diversion The softmax output function [7 min].mp48.03 MB
 4 - 4 - Neuro-probabilistic language models [8 min].mp48.93 MB
 4 - 5 - Ways to deal with the large number of possible outputs [15 min].mp414.26 MB
 5 - 1 - Why object recognition is difficult [5 min].mp45.37 MB
 5 - 2 - Achieving viewpoint invariance [6 min].mp46.89 MB
 5 - 3 - Convolutional nets for digit recognition [16 min].mp418.46 MB
 5 - 4 - Convolutional nets for object recognition [17min].mp423.03 MB
 6 - 1 - Overview of mini-batch gradient descent.mp49.6 MB

Description

Neural Networks, Machine Learning, Geoffrey Hinton, University of Toronto

Sharing Widget


Download torrent
532.59 MB
seeders:3
leechers:3
Coursera - Neural Networks and Machine Learning, Geoffrey Hinton University of Toronto

All Comments

Thank you.