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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 wo…
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Is it possible to use a pre-trained model (for example FFHQ) as a starting point?
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I'm new to this so I apologize a head of time if this is the wrong way to ask this, please correct me if it is.
I have a model that I have trained, but I have decided that I want to change the output…
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Is it right for me to do this? The code works, but I don't know if this is the right process...
# Set up the regressor.
device = chainer.get_device(args.device)
model_path = os.path.joi…
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Hi there,
How can I load my own model as the base model in AutoKeras?
Kai
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Hello,
I am learning to refine our predicted spectral library to better match various samples (various proteolytic peptides, novel modifications, etc.). I am starting with standard unmodified tryptic…
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I'm a gssoc22 contributor
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Hi, is there a way to visualize transfer learning? means two parallel network and connections between them? or some hack in mind?
Thanks!
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There is a nice tutorial in [Keras](https://github.com/pierluigiferrari/ssd_keras/blob/master/weight_sampling_tutorial.ipynb) to sample weights of the final layer in case we have one more of the desir…
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Hello,
I'm wondering how to fix the loading state_dict issue while trying to use pre-trained model. Once the num_classes of the custom dataset has changed from 91, size mismatches for transformer.d…