CLASSIFICATION AND PREDICTION - Universität Wien
CLASSIFICATION AND PREDICTION - Universität Wien
CLASSIFICATION AND PREDICTION - Universität Wien
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Peter Brezany Institut für Softwarewissenschaft, WS 2002 6<br />
What Is a Neural Net?<br />
NN consists of basic units modeled on the principles of biological neurons. These units are<br />
connected together as shown in the next figures.<br />
Slide 11<br />
input 1<br />
input 2<br />
input 3<br />
input 4<br />
output<br />
output<br />
output<br />
1<br />
2<br />
3<br />
A neural network can produce<br />
multiple output values.<br />
What Is a Neural Net? (2)<br />
input 1<br />
input 2<br />
input 3<br />
input 4<br />
output<br />
A very simple neural network<br />
takes four inputs and produces an<br />
output. The result of training this<br />
network is exactly equivalent to<br />
the statistical technique called<br />
logistic regression.<br />
Slide 12<br />
input 1<br />
input 2<br />
input 3<br />
input 4<br />
output<br />
This network has a middle layer<br />
called the hidden layer.The<br />
hidden layer makes the network<br />
more powerful by enabling it to<br />
recognize more patterns.<br />
input 1<br />
input 2<br />
input 3<br />
output<br />
Increasing the size of the hidden<br />
layer makes the network more<br />
powerful but introduces the risk of<br />
overfitting. Usually, only one<br />
hidden layer is needed.<br />
input 4