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freeCodeCamp/curriculum/challenges/japanese/11-machine-learning-with-python/tensorflow/neural-networks-activation-functions.md
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id, title, challengeType, videoId, bilibiliIds, dashedName
id title challengeType videoId bilibiliIds dashedName
5e8f2f13c4cdbe86b5c72d93 ニューラルネットワーク: 活性化関数 11 S45tqW6BqRs
aid bvid cid
675610466 BV1wU4y1A7TJ 409130203
neural-networks-activation-functions

--question--

--text--

-1 ～ 1 の間で値が切り替わる活性化関数はどれですか？

--answers--

ReLU (正規化線形ユニット)

Tanh (双曲線正接)

シグモイド

--video-solution--

2