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Tag vgg16 - This is page 1 - GeneraCodice
Why/When should I use VGG16 to do fine-tuning? [closed]
https://www.generacodice.com/en/articolo/1810231/why-when-should-i-use-vgg16-to-do-fine-tuning-closed
machine-learning
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image-classification
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convnet
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transfer-learning
-
vgg16
datascience.stackexchange
How can I increase my accuracy avoiding overfitting? CNN-Keras-VGG16
https://www.generacodice.com/en/articolo/1552867/how-can-i-increase-my-accuracy-avoiding-overfitting-cnn-keras-vgg16
python
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machine-learning
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image-classification
-
keras
-
vgg16
datascience.stackexchange
Why are my predictions bad, if my accuracy in train is roughly 100% (Keras CNN)
https://www.generacodice.com/en/articolo/1552689/why-are-my-predictions-bad-if-my-accuracy-in-train-is-roughly-100-keras-cnn
python
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machine-learning
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convnet
-
keras
-
vgg16
datascience.stackexchange
Can I save only some VGG19's layers into a .H5 file?
https://www.generacodice.com/en/articolo/1552076/can-i-save-only-some-vgg19-s-layers-into-a-h5-file
tensorflow
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cnn
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neural-style-transfer
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transfer-learning
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vgg16
datascience.stackexchange
How to increase the accuracy of my predictions (CNN fine tuning VGG16 KERAS)
https://www.generacodice.com/en/articolo/1551579/how-to-increase-the-accuracy-of-my-predictions-cnn-fine-tuning-vgg16-keras
python
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image-classification
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convnet
-
keras
-
vgg16
datascience.stackexchange
Transfer learning VGGish (AudioSet). Impact of zero padding to fit the input size
https://www.generacodice.com/en/articolo/1542333/transfer-learning-vggish-audioset-impact-of-zero-padding-to-fit-the-input-size
audio-recognition
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transfer-learning
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vgg16
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machine-learning-model
datascience.stackexchange
Key pixels, key “features” detection in CNNs
https://www.generacodice.com/en/articolo/1539044/key-pixels-key-features-detection-in-cnns
labels
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deep-learning
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feature-selection
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vgg16
datascience.stackexchange
How to calculate $\phi_{i,j}$ in VGG19 network?
https://www.generacodice.com/en/articolo/1520930/how-to-calculate-phi-i-j-in-vgg19-network
feature-extraction
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deep-learning
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cnn
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gan
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vgg16
datascience.stackexchange
Image features (produced by VGG19) do not properly train an ANN in Keras
https://www.generacodice.com/en/articolo/1520151/image-features-produced-by-vgg19-do-not-properly-train-an-ann-in-keras
neural-network
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keras
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inception
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transfer-learning
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vgg16
datascience.stackexchange
Is this an over-fitting case?
https://www.generacodice.com/en/articolo/1503298/is-this-an-over-fitting-case
image-classification
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overfitting
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vgg16
datascience.stackexchange
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