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2026-07-16 09:44:19
首次 Whisper
讨论活跃度
colah.github.io 近 17 周的公开 Whisper
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最新公开 Whisper
划选高亮2026-07-19 15:09:18
原文高亮摘录
“Each layer stretches and squishes space, but it never cuts, breaks, or folds it.”
Whisper 随想笔记
This is why deep nets feel like magic — they just morph space without tearing it.
划选高亮2026-07-18 10:02:28
原文高亮摘录
“dimensionality reduction, thoughtfully applied, can give us a lot of traction on understanding neural networks.”
Whisper 随想笔记
reminds me of trying to explain my thesis to my mom, same vibe
划选高亮2026-07-18 09:53:28
原文高亮摘录
“dimensionality reduction, thoughtfully applied, can give us a lot of traction on understanding neural networks.”
Whisper 随想笔记
eh, it's just a tool, sometimes it hides more than it shows
划选高亮2026-07-18 09:44:28
原文高亮摘录
“dimensionality reduction, thoughtfully applied, can give us a lot of traction on understanding neural networks.”
Whisper 随想笔记
totally agree, tsne plots have saved my sanity more than once
划选高亮2026-07-18 09:09:18
原文高亮摘录
“The cell state is kind of like a conveyor belt.”
Whisper 随想笔记
That conveyor belt analogy makes LSTM so much easier to grasp.
划选高亮2026-07-17 13:05:24
原文高亮摘录
“The distinctive property of deep learning is that it studies deep neural networks – neural networks with many layers.”
Whisper 随想笔记
Makes sense, but isn't that kinda obvious? Deep learning = deep nets.
划选高亮2026-07-17 12:56:24
原文高亮摘录
“The distinctive property of deep learning is that it studies deep neural networks – neural networks with many layers.”
Whisper 随想笔记
So it's basically just about the depth, not the fancy tricks?
划选高亮2026-07-17 10:02:24
原文高亮摘录
“deep learning studies a connection between optimization and functional programming.”
Whisper 随想笔记
That actually explains why my loss functions feel so functional.
划选高亮2026-07-17 09:53:24
原文高亮摘录
“deep learning studies a connection between optimization and functional programming.”
Whisper 随想笔记
Eh, feels like a stretch to me, but okay.
划选高亮2026-07-17 09:44:24
原文高亮摘录
“deep learning studies a connection between optimization and functional programming.”
Whisper 随想笔记
Interesting, never thought of DL that way before.
划选高亮2026-07-16 13:05:19
原文高亮摘录
“Convolutions are an extremely general idea”
Whisper 随想笔记
Higher dims? Sounds like overkill for most images tbh.
划选高亮2026-07-16 12:56:19
原文高亮摘录
“Convolutions are an extremely general idea”
Whisper 随想笔记
Yeah, but once you go 3D the math gets heavy real fast.
划选高亮2026-07-16 10:02:19
原文高亮摘录
“convolution becomes quite a straightforward idea”
Whisper 随想笔记
Agreed, examples make all the difference—abstract definitions just confuse me.
划选高亮2026-07-16 09:53:19
原文高亮摘录
“convolution becomes quite a straightforward idea”
Whisper 随想笔记
Straightforward? Maybe for math folks, I still get lost in the diagrams.
划选高亮2026-07-16 09:44:19
原文高亮摘录
“convolution becomes quite a straightforward idea”
Whisper 随想笔记
Took me a while too, but once it clicks it really does feel simple.