たとえば、
>>586で紹介したQiitaの手書き数字認識のnet_params.js ←学習済みパラメータデータ配列 の一例を抜粋するとこんなんやで
net_params = {
"w1":[[-0.00741249,-0.00790439,-0.013075,0.0185257,-0.00153461,-0.00876485,-0.0292946,-0.0210186,-0.0149041,
-0.00563215,-0.00669386,-0.0953202,0.0230295,0.00116916,0.0422731,0.00876646,0.0278336,-0.0357516,0.014931,
-0.00444681,-0.0198353,-0.00654568,0.0553092,0.0602967,0.0417755,-0.014975,-0.0128568,0.0168451,
-0.0164135,0.0334977,0.0152322,0.0306852,-0.019785,0.0147041,-0.0274822,0.0103357,0.00324177,0.0136917,0.0473935,
-0.00776699,0.0100918,-0.0381134,-0.0302279,-0.00554773,0.063695,0.0315716,0.0631695,0.0197872,-0.0433127,-0.013501],
[・・・],・・・
"w2":[[-0.10694,0.0159125,-0.443499,-0.147301,0.110948,-0.267226,-0.0967564,-0.381177,-0.0769491,0.429654,
-0.0501876,-0.118477,0.0941826,0.301816,0.196665,0.0594296,0.529054,0.151726,-0.344281,0.162533,-0.036994,0.191237,
-0.017544,0.0235688,0.258923,0.238244,0.0425069,0.616768,0.160013,0.239295,-0.0507632,-0.0125546,-,0.0396424],
[・・・],・・・
"w3":[[-0.421736,[・・・],・・・
"b1":[-0.0675032,[・・・],・・・
"b2":[-0.0147111,-0.0721513,-0.00155692,0.121997,[・・・],・・・
"b3":[-0.0602398,0.00932628,-0.0135995,0.0216713,0.0107372,0.066197,-0.0839734,-0.00912251,0.00576962,0.0532335]};
