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>fann_create_shortcut</H1
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><H2
>Name</H2
>fann_create_shortcut -- Create a new artificial neural network with shortcut connections, and return a pointer to it.</DIV
><DIV
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><H2
>Description</H2
><code
class="methodsynopsis"
> <span
class="type"
>struct fann * </span
>fann_create_shortcut(<span
class="methodparam"
><span
class="type"
>float </span
><span
class="parameter"
>learning_rate</span
></span
><span
class="methodparam"
>, <span
class="type"
>unsigned int </span
><span
class="parameter"
>num_layers</span
></span
><span
class="methodparam"
>, <span
class="type"
>unsigned int </span
><span
class="parameter"
>...</span
></span
>); </code
><P
> <CODE
CLASS="function"
>fann_create_shortcut</CODE
> will create a new artificial neural network, and return
a pointer to it. The network will be fully connected, and will furthermore have all shortcut
connections connected.
</P
><P
> Shortcut connections are connections that skip layers. A fully connected network with shortcut
connections, is a network where all neurons are connected to all neurons in later layers.
Including direct connections from the input layer to the output layer.
</P
><P
> The <VAR
CLASS="parameter"
>num_layers</VAR
> is the number of layers including the input and
output layer. This parameter is followed by one parameter for each layer telling how
many neurons there should be in the layer.
</P
><P
>This function appears in FANN >= 1.2.0.</P
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