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Have anyone managed to make a successful training on a Binary Classification of Grayscale images with TF2?
I did manage to start training, but after 20 epochs, Validation accuracy was close to 0.5 …
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Hi,
I am trying to do binary segmentation on 128x128 images. Padding is done on them to ensure outputed image is also 128x128 (as per your kind suggestion).
The number of classes = 2 (one is backgro…
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HI and thanks for Great library ;))
I see that it is not ready for tuning on binary or multilabels task without manually add a linear layer on top of model and implement the binary cross entropy …
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Hello Just to get familiar with the CNN I have prepared the code for the binary classification Aircraft (760 images) or non-aircraft (750).
Here is my code
```
Npos = numel(possitive_regions);
…
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If the network has only one output with a sigmoid ?!
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"alpha: A scalar for focal loss alpha hyper-parameter. If positive samples number > negtive samples number, alpha < 0.5 and vice versa."
your function:
` L=-labels*(1-alpha)*((1-y_pred)*…
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Metric f1 is not allowed in ML task: binary_classification. Use 'logloss'
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In binary classification problems, how to know which class the leaf nodes belong to in the images output by plot_tree()?
"val" cannot help me confirm the specific class.
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like cross-entropy, but normalized by the naive model (predict base rate) score