Tag cnn - Это страница 4 - GeneraCodice

EfficientNet function composition or Hadamard

https://www.generacodice.com/ru/articolo/2689242/efficientnet-function-composition-or-hadamard
  computer-vision  -  deep-learning  -  convnet  -  keras  -  cnn
datascience.stackexchange datascience.stackexchange

How to handle images of different sizes that are smaller than the input layer of a deep learning model?

https://www.generacodice.com/ru/articolo/2689216/how-to-handle-images-of-different-sizes-that-are-smaller-than-the-input-layer-of-a-deep-learning-model
  python  -  machine-learning  -  neural-network  -  deep-learning  -  cnn
datascience.stackexchange datascience.stackexchange

Is it possible for a model with a large amount of data to perform very well and reach an extremely low cost within a single epoch?

https://www.generacodice.com/ru/articolo/2688380/is-it-possible-for-a-model-with-a-large-amount-of-data-to-perform-very-well-and-reach-an-extremely-low-cost-within-a-single-epoch
  deep-learning  -  tensorflow  -  cnn
datascience.stackexchange datascience.stackexchange

Neural network regression is not dynamic enough to predict target range?

https://www.generacodice.com/ru/articolo/2688376/neural-network-regression-is-not-dynamic-enough-to-predict-target-range
  regression  -  neural-network  -  cnn
datascience.stackexchange datascience.stackexchange

How to backpropogate Convolution layer padding inputs with respect to output derivative

https://www.generacodice.com/ru/articolo/2688237/how-to-backpropogate-convolution-layer-padding-inputs-with-respect-to-output-derivative
  convolution  -  deep-learning  -  cnn
datascience.stackexchange datascience.stackexchange

PyTorchs ConvTranspose2d padding parameter

https://www.generacodice.com/ru/articolo/2688228/pytorchs-convtranspose2d-padding-parameter
  convolution  -  convnet  -  cnn  -  pytorch
datascience.stackexchange datascience.stackexchange

How to use a dataset with only one category of data

https://www.generacodice.com/ru/articolo/2687456/how-to-use-a-dataset-with-only-one-category-of-data
  keras  -  cnn
datascience.stackexchange datascience.stackexchange

Is there any possibility to apply deep dreaming in data augmentation?

https://www.generacodice.com/ru/articolo/2687010/is-there-any-possibility-to-apply-deep-dreaming-in-data-augmentation
  deep-learning  -  data-augmentation  -  cnn
datascience.stackexchange datascience.stackexchange

Understanding how convolutional layers work

https://www.generacodice.com/ru/articolo/2684278/understanding-how-convolutional-layers-work
  convolution  -  backpropagation  -  training  -  cnn
datascience.stackexchange datascience.stackexchange

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

https://www.generacodice.com/ru/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
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