タグloss-function - これはページ3です - GeneraCodice

Cross validation and evaluation: neural network loss function continuously decreases in cross-validation

https://www.generacodice.com/jp/articolo/2686758/cross-validation-and-evaluation-neural-network-loss-function-continuously-decreases-in-cross-validation
  neural-network  -  cross-validation  -  loss-function  -  keras
datascience.stackexchange datascience.stackexchange

Categorical cross-entropy works wrong with one-hot encoded features

https://www.generacodice.com/jp/articolo/2684184/categorical-cross-entropy-works-wrong-with-one-hot-encoded-features
  deep-learning  -  loss-function  -  keras  -  one-hot-encoding
datascience.stackexchange datascience.stackexchange

Does convergence of loss function is always guarnteed?

https://www.generacodice.com/jp/articolo/2683554/does-convergence-of-loss-function-is-always-guarnteed
  optimization  -  loss-function
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/jp/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

SparseCategoricalCrosstentropy vs sparse_categorical_crossentropy

https://www.generacodice.com/jp/articolo/2681716/sparsecategoricalcrosstentropy-vs-sparse-categorical-crossentropy
  loss-function  -  tensorflow  -  keras
datascience.stackexchange datascience.stackexchange

Lower loss always better for Probabilistic loss functions?

https://www.generacodice.com/jp/articolo/2680395/lower-loss-always-better-for-probabilistic-loss-functions
  neural-network  -  probability  -  softmax  -  training  -  loss-function
datascience.stackexchange datascience.stackexchange

Understanding Loss function and Learning Algorithm

https://www.generacodice.com/jp/articolo/2678328/understanding-loss-function-and-learning-algorithm
  loss-function  -  keras
datascience.stackexchange datascience.stackexchange

Implement the following loss function without interrupting the gradient chain registered by the gradient tape

https://www.generacodice.com/jp/articolo/2677243/implement-the-following-loss-function-without-interrupting-the-gradient-chain-registered-by-the-gradient-tape
  machine-learning  -  computer-vision  -  deep-learning  -  loss-function  -  cnn
datascience.stackexchange datascience.stackexchange

Interpreting Loss in neural network: Neural network train loss gradually tappers and validation loss never reaches a minima

https://www.generacodice.com/jp/articolo/2676772/interpreting-loss-in-neural-network-neural-network-train-loss-gradually-tappers-and-validation-loss-never-reaches-a-minima
  neural-network  -  loss-function  -  tensorflow  -  keras
datascience.stackexchange datascience.stackexchange

Appropriate loss function for multi-hot output vectors

https://www.generacodice.com/jp/articolo/2676460/appropriate-loss-function-for-multi-hot-output-vectors
  optimization  -  neural-network  -  categorical-data  -  multiclass-classification  -  loss-function
datascience.stackexchange datascience.stackexchange
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