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Transfer learning #2
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enhancement
New feature or request
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Hi Martín, nice to hear from you. Thanks for proposing new features to improve the library. I'm working on this, I added a Regards, |
pzinemanas
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May 27, 2020
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Another feature we would need is transfer learning, for adapting a model to our particular purposes.
In particular, we would like to train a model, for instance, SB_CNN with URBAN_SED. Then, we would like to remove the last fully connected layers and replace them with new fully connected layers. Finally, we would like to train these layers with a certain dataset (e.g. recordings of the sound classes we want to detect), while keeping the weights fixed for the rest of the model.
I am willing to discuss the different possible ways of implementing this, if you agree.
Thanks!
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