标签cnn - 这是页7 - GeneraCodice

For semantic sementation, why am I getting better loss values with binary cross entropy than dice coef?

https://www.generacodice.com/cn/articolo/2683406/for-semantic-sementation-why-am-i-getting-better-loss-values-with-binary-cross-entropy-than-dice-coef
  image-segmentation  -  loss-function  -  cnn  -  semantic-segmentation
datascience.stackexchange datascience.stackexchange

Improving misclassification for one class in a multi-class classification task

https://www.generacodice.com/cn/articolo/2683170/improving-misclassification-for-one-class-in-a-multi-class-classification-task
  deep-learning  -  accuracy  -  multilabel-classification  -  keras  -  cnn
datascience.stackexchange datascience.stackexchange

When a dataset is huge, what do you do to train with all the images on i t?

https://www.generacodice.com/cn/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 datascience.stackexchange

Is Flatten() layer in keras necessary?

https://www.generacodice.com/cn/articolo/2683043/is-flatten-layer-in-keras-necessary
  neural-network  -  convnet  -  keras  -  cnn  -  transfer-learning
datascience.stackexchange datascience.stackexchange

Is it possible to reuse my CNN trained model over a new dataset with different number of classes?

https://www.generacodice.com/cn/articolo/2682982/is-it-possible-to-reuse-my-cnn-trained-model-over-a-new-dataset-with-different-number-of-classes
  classification  -  tensorflow  -  keras  -  cnn  -  machine-learning-model
datascience.stackexchange datascience.stackexchange

How do stacked CNN layers work?

https://www.generacodice.com/cn/articolo/2682713/how-do-stacked-cnn-layers-work
  machine-learning  -  feature-extraction  -  cnn
datascience.stackexchange datascience.stackexchange

Why are RNNs used in some computer vision problems?

https://www.generacodice.com/cn/articolo/2681041/why-are-rnns-used-in-some-computer-vision-problems
  computer-vision  -  deep-learning  -  rnn  -  cnn
datascience.stackexchange datascience.stackexchange

What does it mean when the shape of input images is (600,64,64,3)?

https://www.generacodice.com/cn/articolo/2680963/what-does-it-mean-when-the-shape-of-input-images-is-600-64-64-3
  convolution  -  deep-learning  -  deep-network  -  cnn
datascience.stackexchange datascience.stackexchange

Separating styles of numbers for simple digit classification

https://www.generacodice.com/cn/articolo/2679697/separating-styles-of-numbers-for-simple-digit-classification
  image-classification  -  cnn  -  mnist
datascience.stackexchange datascience.stackexchange

Why my training and testing set are about 99% but my single prediction does wrong prediction?

https://www.generacodice.com/cn/articolo/2679520/why-my-training-and-testing-set-are-about-99-but-my-single-prediction-does-wrong-prediction
  prediction  -  deep-learning  -  image-classification  -  multiclass-classification  -  cnn
datascience.stackexchange datascience.stackexchange
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