neural_network.xml

<?xml version="1.0" ?>
<PyBrain>
	<Network class="pybrain.structure.networks.recurrent.RecurrentNetwork" name="RecurrentNetwork-16">
		<name val="'RecurrentNetwork-16'"/>
		<Modules>
			<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" inmodule="True" name="in">
				<dim val="36"/>
				<name val="'in'"/>
			</LinearLayer>
			<TanhLayer class="pybrain.structure.modules.tanhlayer.TanhLayer" name="out" outmodule="True">
				<dim val="36"/>
				<name val="'out'"/>
			</TanhLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden1">
				<dim val="36"/>
				<name val="'hidden1'"/>
			</SigmoidLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden2">
				<dim val="36"/>
				<name val="'hidden2'"/>
			</SigmoidLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden3">
				<dim val="36"/>
				<name val="'hidden3'"/>
			</SigmoidLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden4">
				<dim val="36"/>
				<name val="'hidden4'"/>
			</SigmoidLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden5">
				<dim val="36"/>
				<name val="'hidden5'"/>
			</SigmoidLayer>
			<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="hidden6">
				<dim val="36"/>
				<name val="'hidden6'"/>
			</SigmoidLayer>
		</Modules>
		<Connections>
			<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-11">
				<inmod val="in"/>
				<outmod val="hidden1"/>
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