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Create a CfC predictor
CfC docs: https://ncps.readthedocs.io/en/latest/api/torch.html
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Reduce the number of encoder layers to preserve the spatial information about the image (e.g. from (512, 1, 1) -> (32, 7, 7))
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**Problem:** Deepfakes are being used for malicious purposes such as spreading fake news, blackmail, identity theft, reputation damage, etc., hence, its detection is crucial for companies to easily de…
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Hello,
When loading weights from a pretrained PyTorch model using the `VarBuilder::get` method, I've noticed that most of the loaded weights for different layers match correctly, except for a 2 lay…
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Hi, @anayebi , I am a newbie in keras, I want to do sequence classification (e.g., 2 classes, each element in the sequence is a 2d matrix or image) just like the first architecture in fig 3 in this ar…
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Hi,
When I run CNN_CNN_LSTM I get matrix mismatch error. Was wondering if you could have any pointers?
Traceback (most recent call last):
File "/home/prateek.verma/remote_ner/active_ner.py"…
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" I extract the activations of the CNN manually, then use the activations as inputs for training a separate LSTM ".
When you say 'extract the activations' , do you mean extract the predicted values…
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Opisać i zadecydować o tym jak będziemy jak wyglądać nasza architektura CNN.
- [ ] różna długość próbek na wejście do CNN - rozwiązania:
a) przycięcie próbek,
b) podział sygnałów próbek na 'pod-p…
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Hi!
I am developing a clip classificator using features (extracted from a CNN) fed into an LSTM for classification. It's an end-to-end system. I would like to know if it's possible apply eli5 visuali…