/
mnist.nsystem
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/
mnist.nsystem
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<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<np xmlns="np:system">
<NeuralNetwork>
<device.file filename="mnist.nsas"/>
</NeuralNetwork>
<data.preprocessor>
<provider.learn>
<reader.list/>
<producer.list>
<producer.mnist.image id="0" start.pos="0">
<binding.list>
<binding id="0"/>
</binding.list>
</producer.mnist.image>
<producer.mnist.label id="1" start.pos="0">
<binding.list>
<binding id="8"/>
</binding.list>
</producer.mnist.label>
</producer.list>
</provider.learn>
<provider.predict>
<reader.list/>
<producer.list>
<producer.image height="28" id="0" scale.type="mono" start.pos="0" width="28">
<binding.list>
<binding id="0"/>
</binding.list>
</producer.image>
</producer.list>
</provider.predict>
</data.preprocessor>
<simulation>
<resultView.list>
<resultView layer.uid="0" type="image"/>
<resultView argmax.output="true" layer.uid="8" onehot.analysis.result="true" type="list"/>
<resultView layer.uid="1" type="image"/>
<resultView layer.uid="9" type="image"/>
<resultView layer.uid="3" type="image"/>
</resultView.list>
<env>
<env.train minibatch.size="100" ndf.use="false">
<end.condition epoch.max="1000"/>
<display period.sample="600"/>
<analyze argmax_accuracy="true" loss_history="true"/>
</env.train>
<env.run minibatch.size="32">
<display period.sample="1"/>
</env.run>
</env>
<train.data>
<train.learn>
<item id="0">
<file filepath="train-images.idx3-ubyte"/>
</item>
<item id="1">
<file filepath="train-labels.idx1-ubyte"/>
</item>
</train.learn>
<train.test>
<item id="0">
<file filepath="t10k-images.idx3-ubyte"/>
</item>
<item id="1">
<file filepath="t10k-labels.idx1-ubyte"/>
</item>
</train.test>
</train.data>
<predict.data>
<predict.input>
<item id="0"/>
</predict.input>
<predict.output output.no.prefix=""/>
</predict.data>
</simulation>
</np>