![デ`タの侘塀
〆い〇= [1, 0, 0]
〆こ〇= [0, 1, 0]
〆た〇= [0, 0, 1]
☆gにラベルを原嚥する one-hot labeling(encording)](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-30-320.jpg)
![X1
X2
X3
H1
H2
Z1
Z2
Z3
念指僥んだNNでは、できない
X1
X2
X3
H1
H2
Z1
Z2
Z3
〆い〇= [1, 0, 0] 〆こ〇= [0, 1, 0]](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-35-320.jpg)
![X1
X2
X3
1
0
0
1?忖?
仝い々
‐??咫[1, 0, 0]](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-49-320.jpg)
![X1
X2
X3
H1
H2
1
0
0
1?忖?
仝い々
s1
s2
H(1)
H(1)
s1 = w11*1 + w12*0 + w13*0 + θ1 = w11 + θ1
s2 = w21*1 + w22*0 + w23*0 + θ2 = w21 + θ2
H(1)
H(1)
H H H H H H
H H H H H H
‐??咫[1, 0, 0]
‐Lれ咫](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-50-320.jpg)
![X1
X2
X3
H1
H2
1
0
0
1?忖?
仝い々
s1
s2
H(1)
H(1)
h1
h2
(1)
(1)
s1 = w11*1 + w12*0 + w13*0 + θ1 = w11 + θ1
s2 = w21*1 + w22*0 + w23*0 + θ2 = w21 + θ2
H(1)
H(1)
H H H H H H
H H H H H H
h1 = a(s1 ), h2 = a(s2 )
H(1) H(1)(1) (1)
‐??咫[1, 0, 0]
‐Lれ咫](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-51-320.jpg)
![X1
X2
X3
H1
H2
0
1
0
2?忖?
仝こ々
s1
s2
H(2)
H(2)
H1
H1
(1)
(1)
s1 = w11*0 + w12*1 + w13*0 + γ1h1 + θ1
= w12 + γ1h1 + θ1
‐??咫[0, 1, 0]
‐Lれ咫
H(2) H H H (1) H
(1) HH
s2 = w21*0 + w22*1 + w23*0 + γ2h2 + θ2
= w23 + γ2h2 + θ2
H(2) H H H (1) H
(1) HH](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-52-320.jpg)
![X1
X2
X3
H1
H2
0
1
0
2?忖?
仝こ々
s1
s2
H(2)
H(2)
H1
H1
(1)
(1)
‐??咫[0, 1, 0]
‐Lれ咫
h1 = a(s1 ), h2 = a(s2 )
H(2) H(2)(2) (2)
h1
h2
(2)
(2)](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-53-320.jpg)
![X1
X2
X3
H1
H2
0
1
0
2?忖?
仝こ々
s1
s2
H(2)
H(2)
H1
H1
(1)
(1)
‐??咫[0, 1, 0]
‐竃?咫
Z1
Z2
Z3
s1 = w11h1 + w12h2 + θ1
O O O(2) (2)
s2 = w21h1 + w22h2 + θ2
s3 = w31h1 + w32h2 + θ3
O O O(2) (2)
O O O(2) (2)](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-54-320.jpg)
![X1
X2
X3
H1
H2
0
1
0
2?忖?
仝こ々
s1
s2
H(2)
H(2)
H1
H1
(1)
(1)
‐??咫[0, 1, 0]
‐竃?咫
Z1
Z2
Z3
z1
z2
z3
z1 = a(s1 ), z2 = a(s2 ), z3 = a(s3 )
O O O](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-55-320.jpg)
![猟忖 仝い々 仝こ々 仝た々
t1 1 0 0
t2 0 1 0
t3 0 0 1
峠?`餓e = (t1 - z1) + (t2 - z2) + (t3 - z3)
2 2 2
峠?`餓のt才 E = e1 + e2 + ´ + e6
ek = (t1[k] - z1[k]) + (t2[k] - z2[k]) + (t3[k] - z3[k])
2 2 2](https://image.slidesharecdn.com/casuallearningmachinelearningwithexcelno7-200904100614/85/Casual-learning-machine_learning_with_excel_no7-58-320.jpg)
Casual learning machine_learning_with_excel_no7
- 1. カジュアル茶氏 @鷲岬 ExcelでC亠僥秘T 及7指 幄塀氏芙 エクテック デ`タサイエンティスト
- 3. 念粁
- 8. Excel 2013, 2016 Google Spreadsheets
- 11. りかれんと
- 12. recurrent
- 13. ＾檎艶￣-界顎姻姻艶稼岳
- 14. 〆壅｢〇〆儉桟〇〆指｢〇
- 15. int recursive (x) { if (x == i) return; recursion(x - i); }
- 16. ?? 竃? Rり卦し
- 17. int recursive (x) { if (x == i) return; recursion(x - i); } ??
- 18. int recursive (x) { if (x == i) return; recursion(x - i); } false false ??
- 19. int recursive (x) { if (x == i) return; recursion(x - i); } True True false false ?? 竃?
- 20. この更夛が、吭龍すること
- 21. 〆芝吮〇
- 26. 醤悶箭で深える
- 27. 仝い々仝こ々仝た々の３?忖をKべ紋えると ６の?~が竃栖貧がる。恷兜の２?忖を 嚥えて、恷瘁の?忖を嚠襪垢襯螢レント ニュ`ラルネットワ`クを恬る 冱~(iみ) 秘薦猟忖 恷瘁の猟忖 卅硬弥(いこた) 〆い〇〆こ〇 た イタコ(いたこ) 〆い〇〆た〇 こ 湊皇(たいこ) 〆た〇〆い〇 こ 小(たこい) 〆た〇〆こ〇 い 弌医(こいた) 〆こ〇〆い〇 た 悶(こたい) 〆こ〇〆た〇 い
- 28. いこ た Rり卦し
- 29. デ`タの侘塀と屎盾ラベル
- 30. デ`タの侘塀 〆い〇= [1, 0, 0] 〆こ〇= [0, 1, 0] 〆た〇= [0, 0, 1] ☆gにラベルを原嚥する one-hot labeling(encording)
- 35. X1 X2 X3 H1 H2 Z1 Z2 Z3 念指僥んだNNでは、できない X1 X2 X3 H1 H2 Z1 Z2 Z3 〆い〇= [1, 0, 0] 〆こ〇= [0, 1, 0]
- 36. では、どうするか
- 39. Xi Hj Zk ?? 竃?
- 40. 方塀晒の扮
- 41. 秘薦 Lれ 竃薦 ユニット兆 X1, X2, X3 H1, H2 Z1, Z2, Z3 秘薦咾両侘才 ? s1, s2 s1, s2, s3 竃薦 x1, x2, x3 h1, h2 z1, z2, z3 H H Z Z Z X1 X2 X3 X1 X2 X3 Z1 Z2 Z3 γ1 γ2 竃? z1, z2, z3 θ1 θ2 θ1 θ2 θ3 w11 w12 w13 w21 w22 w23 w11 w21 w31 w12 w22 w32 H H H H H H O O O O O O O O O H H
- 42. 秘薦 Lれ 竃薦 ユニット兆 X1, X2, X3 H1, H2 Z1, Z2, Z3 秘薦咾両侘才 ? s1, s2 s1, s2, s3 竃薦 x1, x2, x3 h1, h2 z1, z2, z3 H H Z Z Z X1 X2 X3 X1 X2 X3 Z1 Z2 Z3 γ1 γ2 竃? z1, z2, z3 θ1 θ2 θ1 θ2 θ3 w11 w12 w13 w21 w22 w23 w11 w21 w31 w12 w22 w32 H H H H H H O O O O O O O O O H H １?忖?のI尖 ２?忖?のI尖 RNNの竃?
- 43. γ(ガンマ) 指｢の嶷み
- 44. ユニットの?竃?を方塀で燕
- 46. sj = wj1x1 + wj2x2 + wj3x3 + θj H(1) H H H H hj = a(Sj ) H(1) hj = a(Sj ) H(2) ここで a は試來晒v方 ‐Lれ(??)／ ‐Lれ(竃?)／ (1) (1) (1) sj = wj1x1 + wj2x2 + wj3x3 + γjhj + θj H(2) H H H H(2) (2) (2) (1) 恷兜の?忖I尖 ２?忖?の?忖I尖 (1) (1) j = 1,2 j = 1,2
- 47. sj = (wk1h1 + wk2h2 )+ θk O O O zk = a(Sk ) ここで a は試來晒v方 ‐竃?(??)／ ‐竃?(竃?)／ (2) (2)O k = 1,2,3 o k = 1,2,3
- 50. X1 X2 X3 H1 H2 1 0 0 1?忖? 仝い々 s1 s2 H(1) H(1) s1 = w11*1 + w12*0 + w13*0 + θ1 = w11 + θ1 s2 = w21*1 + w22*0 + w23*0 + θ2 = w21 + θ2 H(1) H(1) H H H H H H H H H H H H ‐??咫[1, 0, 0] ‐Lれ咫
- 51. X1 X2 X3 H1 H2 1 0 0 1?忖? 仝い々 s1 s2 H(1) H(1) h1 h2 (1) (1) s1 = w11*1 + w12*0 + w13*0 + θ1 = w11 + θ1 s2 = w21*1 + w22*0 + w23*0 + θ2 = w21 + θ2 H(1) H(1) H H H H H H H H H H H H h1 = a(s1 ), h2 = a(s2 ) H(1) H(1)(1) (1) ‐??咫[1, 0, 0] ‐Lれ咫
- 52. X1 X2 X3 H1 H2 0 1 0 2?忖? 仝こ々 s1 s2 H(2) H(2) H1 H1 (1) (1) s1 = w11*0 + w12*1 + w13*0 + γ1h1 + θ1 = w12 + γ1h1 + θ1 ‐??咫[0, 1, 0] ‐Lれ咫 H(2) H H H (1) H (1) HH s2 = w21*0 + w22*1 + w23*0 + γ2h2 + θ2 = w23 + γ2h2 + θ2 H(2) H H H (1) H (1) HH
- 53. X1 X2 X3 H1 H2 0 1 0 2?忖? 仝こ々 s1 s2 H(2) H(2) H1 H1 (1) (1) ‐??咫[0, 1, 0] ‐Lれ咫 h1 = a(s1 ), h2 = a(s2 ) H(2) H(2)(2) (2) h1 h2 (2) (2)
- 54. X1 X2 X3 H1 H2 0 1 0 2?忖? 仝こ々 s1 s2 H(2) H(2) H1 H1 (1) (1) ‐??咫[0, 1, 0] ‐竃?咫 Z1 Z2 Z3 s1 = w11h1 + w12h2 + θ1 O O O(2) (2) s2 = w21h1 + w22h2 + θ2 s3 = w31h1 + w32h2 + θ3 O O O(2) (2) O O O(2) (2)
- 55. X1 X2 X3 H1 H2 0 1 0 2?忖? 仝こ々 s1 s2 H(2) H(2) H1 H1 (1) (1) ‐??咫[0, 1, 0] ‐竃?咫 Z1 Z2 Z3 z1 z2 z3 z1 = a(s1 ), z2 = a(s2 ), z3 = a(s3 ) O O O
- 56. 恷m晒のための ?議v方を箔める
- 57. 猟忖 仝い々 仝こ々 仝た々 t1 1 0 0 t2 0 1 0 t3 0 0 1 峠?`餓e = (t1 - z1) + (t2 - z2) + (t3 - z3) 2 2 2 峠?`餓のt才 E = e1 + e2 + ´ + e6
- 58. 猟忖 仝い々 仝こ々 仝た々 t1 1 0 0 t2 0 1 0 t3 0 0 1 峠?`餓e = (t1 - z1) + (t2 - z2) + (t3 - z3) 2 2 2 峠?`餓のt才 E = e1 + e2 + ´ + e6 ek = (t1[k] - z1[k]) + (t2[k] - z2[k]) + (t3[k] - z3[k]) 2 2 2
- 64. 1. デ`タの
- 66. 2. 嶷みと､粒豚晒
- 71. ユニットの `餓を麻
- 73. 5.峠?`餓e の拘塘を麻
- 79. 8. 3.~7.をRり卦し麻
- 80. 50指?の麻 そのときの嶷みと
- 81. いざ、テスト
- 82. 嚠霞潤惚が麻竃される
- 83. ディ`プラ`ニング 侮嗔Яには
- 84. ＾僥￣, と＾容￣がある
- 88. 書指は、參貧です
- 89. EoF