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Updated: Jan 17, 2026

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Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
9.9K
浅いニューラルネットワーク、畳み込みニューラルネットワーク、およびディープニューラルネットワークのトレーニングのための否定された कर्त्तोसिस損失に基づく新しい逆伝播アルゴリズム
Engin Cemal Mengüç1, Alper Emlek2, Danilo P Mandic3
1Department of Electrical and Electronics Engineering, Kayseri University, Kayseri, 38280, Türkiye.
まとめ
新しい逆伝播(BP)アルゴリズムは、出力誤差の कर्त्तोसिसを最小化し、ニューラルネットワーク(NN)のトレーニングを強化します。この方法は、さまざまなNNアーキテクチャの収束を改善し、定常状態のエラーを削減します。
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