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			<subfield code="a">REPORT</subfield>
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			<subfield code="a">Marelli_Idiap-RR-03-2018/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Implementation d'un algorithme de reduction de taille des reseaux de neurones</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Marelli, François</subfield>
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		<datafield tag="653" ind1="1" ind2=" ">
			<subfield code="a">artificial neural network</subfield>
		</datafield>
		<datafield tag="653" ind1="1" ind2=" ">
			<subfield code="a">network size</subfield>
		</datafield>
		<datafield tag="653" ind1="1" ind2=" ">
			<subfield code="a">regularizer</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/2017/Marelli_Idiap-RR-03-2018.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-RR-03-2018</subfield>
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			<subfield code="c">2018</subfield>
			<subfield code="b">Idiap</subfield>
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		<datafield tag="771" ind1="2" ind2=" ">
			<subfield code="d">March 2018</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">This document describes the implementation of a neuron pruning method with pyTorch, and analyzes the results obtained by applying this method on convolutional and residual networks. The performance of the algorithm is measured in different test cases and with varying parameters.</subfield>
		</datafield>
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