ELF>8@@ZY !"#$%&'()*+,-.014569:;OPQRATUSHHdH%(H$1D$D$=D$@?D$@D$?H$H5HT$PH$`H5HT$ H$@H5H$`HT$H$@H$H$@H$PH9tH$`H$pH9tH$H|$H$HH$uH$ H$H$H$@H$HD$PHD$XHD$`HD$hHD$pHD$xHDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$HDŽ$DŽ$HDŽ$DŽ$DŽ$HH@HD$ HD$(HD$0HD$8HD$@D$HHT$H$ H|$\$H|$H|$PH\$H|$H|$ HH|$Ht$ H|$T$H$@H$`\$H$`H|$PH\$H$`H|$ HH$`HAQH HHH$H5H$H$(H$ H$H5H$H$HH$@H$`H$H\$ H|$@HH|$PH$@H$PH9tH$ H$0H9tH$H$dH3 %(H[]A\HHH$@H$PH9tH$`H$pH9tH$HHHHHHHH|$Ld$ H|$@LH|$PIHH$@H$PH9tLH$ H$0H9i_HHH$`HHH$lHHaHHHHHHHRHH=D$P Ht$PHlHHHH=HH5H=HSHHH@HH{Ht[SHHH@HH{HtH[AVAUATUSIHIIHtI}xHtI}`HtI}HHtIE8Me0L9trIT$H)HH HHH!HD@M40H H9tH{HtI<$HtIM9tIl$I$H9uI}0HtI}HtI}Ht[]A\A]A^ATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu[]A\HHHtHsLHkH{ HC0H9tATUSIHHu9[]A\H{@HCPH9tH{ HC0H9tHHHtHsLHkH{`HCpH9tATUSHHH@HHHH9tLHI9HHtH`HpH9tH8H(HHHHHHHuxH}hHuHH}8HuH}[]A\H I9RH;HCH9tATUSHHH@HHHH9tLHI9HHtH`HpH9tH8H(HHHHHHHuxH}hHuHH}8HuH}H[]A\H I9JH;HCH9tbasic_string::_M_construct null not validATUSHHIdH%(HD$1H9tHtHHL)H$HwDH}HtXHu\H$HEHUHD$dH3%(uIH[]A\H=HHHEH$HEA$HLMiniumum derivative, averaged over the training data, that we allow for a nonlinearity,expressed relative to the maximum derivative of the nonlinearity,i.e. 1.0 for tanh or 0.25 for sigmoid, 1.0 for rectified linear.Maximum derivative, averaged over the training data, that we allow for the nonlinearity associated with one neuron.Maximum factor by which we change the set of parameters associated with a neuron.For ReLUs, change in bias when we identify a component that's too frequently on or off.min-average-derivmax-average-derivparameter-factorrelu-bias-changeUHAVAUATSHXIHdH%(HE1HL`H}HGHEjHH(H}HGHE$HHrMHHMHuLHAH}HEH9tH}HEH9tHL`H}HGHEHjHHrMnH}HGHE$HHrHHMHuLHAH}HEH9tH}HEH9tHL`H}HGHEHjHHrMnH}HGHE$HHrHHMHuLHAH}HEH9tH}HEH9tHL`H}HGHEHjHHrMI H}HGHE$HHrHHMHuLHAH}HEH9tH}HEH9tHEdH3%(He[A\A]A^]HH}HEH9tH}HEH9tHHHH}HEH9tH}HEH9tHHHH}HEH9tH}HEH9tHHHH}HEH9tH}HEH9tHHHGgconfigprint-argsPrint out usage messagehelpverboseConfiguration file to read (this option may be repeated)Print the command line arguments (to stderr)Verbose level (higher->more logging)UHAWAVAUATSH`HdH%(HE1HH@HGHGHGHG HG(HG0G@HGHHG@HGPHGXHG`GpHGxHGpHHHLJLJHLJHHHHLJLJHLJHHHHLJLJHLJHHHHLJ LJ0HLJ8H0H@HHHLJPƇXƇYHpIH`HLJhƇpHLJHLJHLJHLJHLJHLLjHHL`HHǃHH8H}HGHEHjHHrH}HGHE$HHrHHMHuLHH}HEH9tH}HEH9tH}HGHEHjHHrLXH}HGHE$HHrHHMHuLHH}HEH9tH}HEH9tH}HGHEHjHHrLYH}HGHE$HHrHHMHuLHH}HEH9tH}HEH9tH}HGHEHjHHrH}HGHE$HHrHHMHuHHH}HEH9tH}HEH9tHEdH3%(He[A\A]A^A_]IH}HEH9tH}HEH9tHL9tLLM9I<$ID$H9tI IIH}HEH9tH}HEH9tIIH}HEH9tH}HEH9f\IIH}HEH9tH}HEH91'III#HHtH`I9tH8H(HHHHHHHsxH{hHsHH{8HsH{LS            Copy a (cpu-based) neural net and its associated transition model, but modify it to remove certain pathologies. We use the average derivative statistics stored with the layers derived from NonlinearComponent. Note: some processes, such as nnet-combine-fast, may not process these statistics correctly, and you may have to recover them using the --stats-from option of nnet-am-copy before you use. this program. Usage: nnet-am-fix [options] e.g.: nnet-am-fix 1.mdl 1_fixed.mdl or: nnet-am-fix --get-counts-from=1.gradient 1.mdl 1_shrunk.mdl Write output in binary modebinarynnet-am-fix.ccCopied neural net from to aVW p   W   2 $ 5  `    }mainstd]h$ Mj,^'~QFKQ Q`Q8 \ R8D nQn  X! eM P WIT Z, [7 ] ^ ` a) b)l"Q"Q %-Q%4:"Q%}QW-Qju"Q "Q %?-Q%"Q8Q "Q"Q !1"Q <9EU"Q <9>Qms"QDQ-Q+ -Q 195-Q  19>  -Q  F?"--Q19;OM :19 ;Xm :19 ;a : <9;t :;x :;} : : :;  :19198,  @K"QJQ_y"Q  19 "Q  "Q7"QFK"QJQ ""QJQ FK7L"QJQ  a{"QJQ  FK"Q19 FK"Q19FK"Q <9FK "QPQ.)9"Q)FK2N^"QJQFK6s"QPQFK"Q8VQ"QJQVQ"Q19VQ"Q<9VQ(3"QPQVQLW"Q)0pv"Q8-Q!end@"Q!endH-QQ"QZ  -Qc* 0 "QlI O -Quh n -Q} -Q -Q -Q  -Q  -Q " ( -Q= M "Q <9b m "Q  "Q  -Q "Q  "Q?  -Q q % -Q e> I "Q !at2qa l -Q !atGe "Q We "Qbq -Qme "Qxq -QVQ$ / "QJQVQH S "Q19VQl w "Q<9VQ "Q)VQ "QJQVQ "QJQ  VQ  "Q19 VQ/ : "Q19VQS c "Q <9VQ| "Q); "Q<9JVQ "QJQZVQ "QPQqVQ"QJQ  VQ6F"Q19 VQ_j"Q19VQ"Q <9VQ"Q)"Q <9A "Q)UVQ#3"Q JQlVQLf"Q JQ  VQ"Q 19 VQ"Q 19VQ"Q  <9"Q<9VQ-="Q  Va"Q"z"Q5"QNVQ"Q  JQdVQ "Q  JQ  }VQ$>"Q  19 VQWl"Q  19VQ"Q   <9VQ"QJQVQ"Q19 VQ."Q19VQGa"Q <98VQz"Q : :CVQ"Q1919NVQ"QYVQ-"QrVQF["Q)VQs"Q   <9VQ"Q  19 VQ"Q19  -Q :  *5"QVQ19NT-Q19ms-Q T-Q -Q19  % -QJQ E -Q19 V +;-Q<9 c Td-QJQ  }-Q19   -Q19  -Q<9   -QJQ  &;-Q19   Td-Q19  }-Q<9  -QJQ ) -Q19  7  -Q19 K &6-Q<9 Y O_-QJQ | x-Q19   -Q19  -Q<9  -QJQ  !6-Q19   O_-Q19  x-Q<9  A-Q   8-QJQn 8-Q  JQ 8;-Q  JQ   8T_-Q19 8x-Q  19 8-Q  19  19"Q1919l "19"Q1919B>N19"Q1919<9= =^'AJAo]Q8<9= =^'!Mz8j<9= =^'u6 8>8 8 8 ; ; ; ; ; < ;< W< m< < < < < = (= 5= G= g= = = = = 9  = > i> +> J> > K> R> U> [> \ ? 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