Neural Networks

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node).  The middle layer of nodes is called the '''hidden layer''', because its
node).  The middle layer of nodes is called the '''hidden layer''', because its
values are not observed in the training set.  We also say that our example
values are not observed in the training set.  We also say that our example
-
neural network has 3 '''in put units''' (not counting the bias unit), 3  
+
neural network has 3 '''input units''' (not counting the bias unit), 3  
'''hidden units''', and 1 '''output unit'''.
'''hidden units''', and 1 '''output unit'''.

Revision as of 20:55, 22 April 2011

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