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Tag cnn - This is page 5 - GeneraCodice
How to backpropogate Convolution layer padding inputs with respect to output derivative
https://www.generacodice.com/en/articolo/2688237/how-to-backpropogate-convolution-layer-padding-inputs-with-respect-to-output-derivative
convolution
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deep-learning
-
cnn
datascience.stackexchange
PyTorchs ConvTranspose2d padding parameter
https://www.generacodice.com/en/articolo/2688228/pytorchs-convtranspose2d-padding-parameter
convolution
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convnet
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cnn
-
pytorch
datascience.stackexchange
How to use a dataset with only one category of data
https://www.generacodice.com/en/articolo/2687456/how-to-use-a-dataset-with-only-one-category-of-data
keras
-
cnn
datascience.stackexchange
Is there any possibility to apply deep dreaming in data augmentation?
https://www.generacodice.com/en/articolo/2687010/is-there-any-possibility-to-apply-deep-dreaming-in-data-augmentation
deep-learning
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data-augmentation
-
cnn
datascience.stackexchange
Understanding how convolutional layers work
https://www.generacodice.com/en/articolo/2684278/understanding-how-convolutional-layers-work
convolution
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backpropagation
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training
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cnn
datascience.stackexchange
For semantic sementation, why am I getting better loss values with binary cross entropy than dice coef?
https://www.generacodice.com/en/articolo/2683406/for-semantic-sementation-why-am-i-getting-better-loss-values-with-binary-cross-entropy-than-dice-coef
image-segmentation
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loss-function
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cnn
-
semantic-segmentation
datascience.stackexchange
Improving misclassification for one class in a multi-class classification task
https://www.generacodice.com/en/articolo/2683170/improving-misclassification-for-one-class-in-a-multi-class-classification-task
deep-learning
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accuracy
-
multilabel-classification
-
keras
-
cnn
datascience.stackexchange
When a dataset is huge, what do you do to train with all the images on i t?
https://www.generacodice.com/en/articolo/2683118/when-a-dataset-is-huge-what-do-you-do-to-train-with-all-the-images-on-i-t
dataset
-
training
-
cnn
datascience.stackexchange
Is Flatten() layer in keras necessary?
https://www.generacodice.com/en/articolo/2683043/is-flatten-layer-in-keras-necessary
neural-network
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convnet
-
keras
-
cnn
-
transfer-learning
datascience.stackexchange
Is it possible to reuse my CNN trained model over a new dataset with different number of classes?
https://www.generacodice.com/en/articolo/2682982/is-it-possible-to-reuse-my-cnn-trained-model-over-a-new-dataset-with-different-number-of-classes
classification
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tensorflow
-
keras
-
cnn
-
machine-learning-model
datascience.stackexchange
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