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--bias-coef=0.1 nnet-in nnet-out Select components by 'csl' of 1..N values. Layout is the same as in 'nnet-info' output, (example 1:3:5)Learn-rate coefficient for both weight matrices and biases.Learn-rate coefficient for weight matrices (used as: coef * weight_coef).Learn-rate coefficient for bias (used as: coef * bias_coef).Write output in binary modebinarycomponentsweight-coefbias-coef:SplitStringToIntegersN5kaldi5nnet19ComponentEN5kaldi5nnet118UpdatableComponentE?;0(2Ht`8$P|4:HlTN<8(zRx H+zRx $FJ w?;*3$"D(\BBAA ^ ABA (HBAA L ABA (HBAA L ABA (HBAA L ABA ( HBAA L ABA (8 HBAA L ABA (d(HBAA L ABA (DlBAA L ABA ,BAA  ABA ,Z BAA  ABA H8$BBB B(A0A8DP 8A0A(B BBBA PhM~BB B(A0A8D@ 8A0A(B BBBA kzPLRx  <$gBBA A(D`H (A ABBA 0BAA D0c  AABA H AC K.~.F.~.F.~.F.{.H A 8tBAA GH  AABA /DjDPeBBE B(H0H8M@r8A0A(B BBB<xsS            2Pi   E  }| p'/0'C DK c t A # ?K K o   `N  ( oooooL #$$&$6$F$V$f$v$$$$$$$$$%%&%6%F%V%f%v%%%%%%%%%&&&&6&F&V&P GCC: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0z'0B`0H0H0H81H1H1H2l|23 4$5M789`m` stdW#lܓ&A Mkե-&%ե8~?9ե8??ԥd?%' \&J s?s  X ǚe M PV WJU 4?Z .?[ t] 5^u ` 'a) -b )l;0?EV? $;,?$^\5;?$^m~RX?kv? |ˀg? $W`&.?$ ?? ,58?ᠯ? d"2? 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