Convolutional neural network - Wikipedia
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2026-07-15 09:39:06
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Text Highlight2026-07-17 10:20:00
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"A distinguishing feature of CNNs is that many neurons can share the same filter."
Whisper Note
Yeah but then how do different filters not end up identical after training?
Text Highlight2026-07-17 10:11:00
Original Highlight Excerpt
"A distinguishing feature of CNNs is that many neurons can share the same filter."
Whisper Note
Sharing weights is basically the whole trick, right? It's what makes convolution efficient.
Text Highlight2026-07-17 10:02:00
Original Highlight Excerpt
"A distinguishing feature of CNNs is that many neurons can share the same filter."
Whisper Note
So that's how they keep the model small enough to train on a GPU.
Text Highlight2026-07-15 13:00:06
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"CNNs use relatively little pre-processing compared to other image classification algorithms"
Whisper Note
But don't they still need a ton of tuning and data? Not that little pre-processing.
Text Highlight2026-07-15 12:51:06
Original Highlight Excerpt
"CNNs use relatively little pre-processing compared to other image classification algorithms"
Whisper Note
So true, hand-crafting features was such a pain, glad CNNs just learn them.
Text Highlight2026-07-15 09:57:06
Original Highlight Excerpt
"CNNs are also known as shift invariant or space invariant artificial neural networks"
Whisper Note
So it's the pooling layers that break the invariance, right?
Text Highlight2026-07-15 09:48:06
Original Highlight Excerpt
"CNNs are also known as shift invariant or space invariant artificial neural networks"
Whisper Note
That explains why tiny shifts can mess up my image classifier.
Text Highlight2026-07-15 09:39:06
Original Highlight Excerpt
"CNNs are also known as shift invariant or space invariant artificial neural networks"
Whisper Note
Wait, so the name is a lie? They're not actually invariant?
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