Slide 28
Slide 28 text
෮श: ϏʔϜαʔν
• ϏʔϜαʔν
= ෯༏ઌ୳ࡧ
+ ώϡʔϦεςΟοΫͳࢬמΓ
• ίετͷ͍ʢ→֬ͷߴ͍ʣ
ग़ྗܥྻΛݟ͚ͭΔΞϧΰϦζϜ
• શʹࢬמΓ͞Εͯ͠·ͬͨ
ϓϨϑΟοΫε͏ग़ͯ͜ͳ͍
308 Ҿ ༻ ɾ ࢀ ߟ จ ݙ
i = 1 2 3
. . .
֤୯ޠຖͷ࠷େԾઆ W
ࢬמΓ
w
3,r
w
3,1
+ B or
w
3,r
f
1
+ B or
w
3,r
f
N
ιʔτ͞ΕͨԾઆ܈
ྦྷੵॏΈɿߴ ྦྷੵॏΈɿ
ऴྃԾઆ ྦྷੵॏΈɿf
5
ྦྷੵॏΈɿw
3,1
σίʔμʔঢ়ଶɿh
3,1
ग़ྗγϯϘϧy
3,1
ਤ 8.7 ୯ޠಉظϏʔϜ୳ࡧͷσʔλߏ
Schwenk, H. and Bengio, Y.: Learning Phrase Representations using RNN
Encoder–Decoder for Statistical Machine Translation, in Proc. Empirical