LATENT REFERENCES / TAG2
feed forward network
Original title: feed forward network
This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Alan Turing. The note preserves its source text and links so that readers can trace the material behind the 3D map.
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English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
A feedforward neural network has a structure in which neurons arranged in layers connect only between adjacent layers. It propagates in only one direction, from left to right, from the input layer to the output layer.
順伝播型ネットワーク(フィードフォワードニューラルネットワーク)は、層状に並べられたニューロンが隣接した層間でのみ結合した構造をしています。 左から右へと入力層から出力層へ一方向のみ伝播するニューラルネットワークです。
Source updated 2023-07-30 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
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