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The paper mentions a comparison with other unsupervised anomaly detection systems in section 3.4. Specifically, Airtag is compared with LSTM-based, Transformer-based, and Autoencoder-based anomaly det…
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Did you train the autoencoder model up to 500epoch?
How long does it take?
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I think at line 164 the resnet decoder (https://github.com/eleannavali/resnet-18-autoencoder/blob/main/src/classes/resnet_using_basic_block_decoder.py#L164), the condition `self.inplanes != planes * b…
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Hi,
May I update the auto encoder model with the following models: https://github.com/rickwierenga/notebooks/blob/master/autoencoders.ipynb (in Swift, of course) ? The proposed models are more exte…
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In your paper you mention that using the autoencoder is optional. I would like to try this for a different domain, however, the code base does not seem to support this out of the box, when using the s…
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TODOs for the Autoencoder:
- [ ] write tests for the other activation function types
- [ ] better stopping criteria
- [x] more than one training step, continue training a `dimRedResult` object
- […
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Hello @thushv89 , thanks for the great materials. I am trying to adapt the seq2seq NMT code as an autoencoder for sentence embedding. Do you think it's a good way to use it for such purpose?
Thank…
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How can i implement callback parameter in fit moder Autoencoder ?
There is not parameter.
from keras.callbacks.callbacks import EarlyStopping
cb_earlystop = EarlyStopping(monitor='val_loss', min_…
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Hi,
Did you somehow figure out how it would be possible to create a auto encoder with RLS?
for example with the mnist dataset to remove noise OR create new numbers....
normaly the autoencoder do…
snapo updated
11 months ago
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