Edits to SdA tutorial for clarity. #51
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| Once all layers are pre-trained, the network goes through a second stage | ||
| of training called **fine-tuning**. Here we consider **supervised fine-tuning** | ||
| of training called **fine-tuning**, | ||
| where we want to minimize prediction error on a supervised task. |
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That one was correct, since unsupervised fine-tuning can also exist.
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I'm really sorry I forgot that this last request was pending. |
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No problem. I've pulled from master and addressed your points. |
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Thanks a lot! |
lamblin
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Apr 7, 2015
Edits to SdA tutorial for clarity.
taneishi
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Nov 28, 2019
Edits to SdA tutorial for clarity.
taneishi
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Feb 13, 2020
Edits to SdA tutorial for clarity. Former-commit-id: 9ba8731
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