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Initialization Functions

   

In order to work with various net-models and learning algorithms, different initialization functions that initialize the components of a net are required. Backpropagation for example will not work properly as long as all weights have the same value, since there can be no gradient computed. Click in the INIT line of the remote panel to select an init function.

The following initialization functions are available:

All these functions receive their input from the five init parameter fields in the remote panel. See figure gif

Here is a short description of the different initialization functions:





Niels Mache
Wed May 17 11:23:58 MET DST 1995