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Can you update NCNN-android image binary classification?
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> A more sophisticated approach looks at the distribution of predictions, and makes
> an informed trade-off between true positive (in this context also known as recall and hit
> rate), and accuracy …
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Might be wrong but best practice for the last layer for binary image classification is a single output neuron with a sigmoid activation. Something like this:
`tf.keras.layers.Dense(1, activation=t…
rigba updated
3 years ago
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OT: Sorry for the flood of issues, I am just cleaning out my personal todo / issue log to the official one on Github :)
Currently moabb only allows the evaluation of binary classification performan…
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Hi,
Thanks for making this available. Two suggestions for better usability
1) I think you should point out in the readme that vectors.gz should be available in the main directory.
2) The code s…
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Are there any step-by-step guides on how to apply KAN on tabular binary classification datasets??
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This is documented, but is quite limiting. How much effort would it take to support this? I might be willing to contribute if there are no resources available to do this.
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Hi there,
Really thanks for your work. Very clear and readable code, very interesting idea and experiments. I'm currently reproducing the binary classification tasks, and I was wondering what the i…
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Those adversarial gradients seem quite promising to get rid of this arbitrary baseline.
However, in the case of binary classification, would this method be relevant? There would be only one adversa…
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### Use Cases or Problem Statement
We need the ability to create/update/drop classification models through terraform as we will only allow classification models to be created through terraform.
A …