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Unformatted text preview: iguration will provide good generalization. Of
course, model selection (e.g., by cross- validation) will partly correct this issue, but if the number of good generalization configurations is very small in comparison to good
training configurations, as seems to be the case in practice, then it is likely that the training procedure will not find any of them. But, as we will see in this paper, it appears
that the type of unsupervised initialization discussed here can help to select basins of attraction (for the supervised fine- tuning optimization phase) from which learning good
solutions is easier both from the point of view of the training set and of a test set. Neural Networks in Practice
Now that we know so much about Neural Networks, what are suitable real world applications? Neural Networks have already been successfully applied in many industries.
Since neural networks are good at identifying patterns or trends in data, they are well suited for prediction or forecasting needs, such as customer research, sales forecasting,
risk management and so on.
Take a specific marketing case for example. A feedforward neural network was trained using back- propagation to assist the marketing control of airline seat allocations. The
neural approach was adaptive to the rule. The system is used to monitor and recommend booking advice for each departure.
wikicour senote.com/w/index.php?title= Stat841&pr intable= yes 41/74 10/09/2013 Stat841 - Wiki Cour se Notes Is s ues with Neural Network
When Neural Networks was first introduced they were thought to be modeling human brains, hence they were given the fancy name "Neural Network". But now we know
that they are just logistic regression layers on top of each other but have nothing to do with the real function principle in the brain.
We do not know why deep networks turn out to work quite well in practice. Some people claim that they mimic the human brains, but this is unfounded. As a result of these
kinds of claims it is important to keep the right perspective on what t...
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This document was uploaded on 03/07/2014.
- Winter '13