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2026-07-24 09:40:07
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划选高亮2026-07-24 13:01:07
原文高亮摘录
An LSTM unit is typically composed of a cell and three gates
Whisper 随想笔记
But why three gates though? Couldn't you just use one with more math?
划选高亮2026-07-24 12:52:07
原文高亮摘录
An LSTM unit is typically composed of a cell and three gates
Whisper 随想笔记
So basically the cell is the brain and the gates are the bouncers, got it.
划选高亮2026-07-24 09:58:07
原文高亮摘录
Its relative insensitivity to gap length is its advantage over other RNNs
Whisper 随想笔记
Reminds me of my ex—always holding onto stuff way too long, but at least it worked.
划选高亮2026-07-24 09:49:07
原文高亮摘录
Its relative insensitivity to gap length is its advantage over other RNNs
Whisper 随想笔记
Yeah but that gap insensitivity still doesn't fix the vanishing gradient in practice, sadly.
划选高亮2026-07-24 09:40:07
原文高亮摘录
Its relative insensitivity to gap length is its advantage over other RNNs
Whisper 随想笔记
So true, LSTMs just don't care how long the gap is, unlike my memory of last week.

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