Comments (6)
NomotoEriko
commented on May 26, 2024
1
そういえばリサイジュアってましたね．んじゃ納得です．
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NomotoEriko
commented on May 26, 2024
深いところの LSTM の内部表現を使うお気持ちはわかるのですが，concat とかじゃなくて重み付き平均なののお気持ちを知りたい．
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NomotoEriko
commented on May 26, 2024
@junya-takayama ↑回答お願いします！
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junya-takayama
commented on May 26, 2024
concatして無駄にでかくなったベクトルからエンドタスク（往々にして大したデータ量がない）のモデルを学習させるのはつらい（と思う）．線形結合にしてどの層の情報が必要かを学習させる方が簡単（な気がする）
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NomotoEriko
commented on May 26, 2024
次元を小さくしたいのはわかるのですが，なぜ線型結合でいいのか...
解せない...
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junya-takayama
commented on May 26, 2024
んんん・・・そもそもRNN通す前と通した後のアレをresidual connectionしてるわけだし，前後のアレを線形結合しても別に問題ない気がする・・・
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