title: Weka multi-perceptron with multiple hidden layers
body: <p>I'm trying to use Multi-Perceptron in Weka Knowledge Flow. In the attachment you can see the setting for the block.
  As written in the help:
  "hiddenLayers -- This defines the hidden layers of the neural network. This is a list of positive whole numbers. 1 for each hidden layer. Comma seperated. To have no hidden layers put a single 0 here. This will only be used if autobuild is set. There are also wildcard values 'a' = (attribs + classes) / 2, 'i' = attribs, 'o' = classes , 't' = attribs + classes."</p>
  
  <p>However, it's still a little bit confusing for me. How can I build a neural network with 3 hidden layers, each has different number of units (say 2,5,6). And can you help explain wildcard values? I think it's only for number of hidden layers, not for number of hidden units in each layer.</p>
  
  <p>Thank you.<a href="https://i.stack.imgur.com/GWu8a.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/GWu8a.jpg" alt="enter image description here"></a></p>