Timeline for How to Estimate a Multi Channels and Multi Kernels Convolution Kernel (Deep Learning Style) Given the Input and Output Images
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Jan 24, 2023 at 15:54 | history | edited | Royi | CC BY-SA 4.0 |
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| Jan 23, 2023 at 17:34 | history | edited | Royi |
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| Jan 23, 2023 at 16:48 | vote | accept | Mint Int | ||
| Jan 19, 2023 at 19:43 | answer | added | Royi | timeline score: 0 | |
| Jan 17, 2023 at 16:49 | comment | added | Christoph Rackwitz | so? do it for each output layer individually. -- why are you even trying to do that to the conv2d layer of a neural network? those are usually trained with backprop/gradient descent | |
| Jan 17, 2023 at 15:48 | history | edited | Mint Int | CC BY-SA 4.0 |
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| S Jan 17, 2023 at 15:48 | review | First questions | |||
| Jan 17, 2023 at 16:11 | |||||
| S Jan 17, 2023 at 15:48 | history | asked | Mint Int | CC BY-SA 4.0 |