視覚入力と聴覚入力のニューロンの出力がほぼ同一になるという話を研究室の教授から聞いたので(合っているかは謎)全体特徴量からbertで必要十分な特徴量を抽出する
前頭葉の時系列処理と小脳の出力生成ネットワーク
マルチモーダル深層学習にあるSoundNetと似たようなものだったのでSoundNetを改造することにしました。
BERTを利用した言語処理とVGGを利用した画像処理の出力のコサイン類似度をただ単に近づけるモデルを構築 学習、テストまでは至らなかった
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