标签cnn - 这是页1 - GeneraCodice

Oscilations in loss curve [closed]

https://www.generacodice.com/cn/articolo/2700348/oscilations-in-loss-curve-closed
  loss-function  -  cnn  -  lstm
datascience.stackexchange datascience.stackexchange

Adapting ZFNet on 2244x224 image using a filter 7X7

https://www.generacodice.com/cn/articolo/2699753/adapting-zfnet-on-2244x224-image-using-a-filter-7x7
  convolution  -  tensorflow  -  cnn  -  alex-net
datascience.stackexchange datascience.stackexchange

How do I deal with the fact that I have images which are not consistent with the class they belong in an image classification problem with CNN?

https://www.generacodice.com/cn/articolo/2699036/how-do-i-deal-with-the-fact-that-i-have-images-which-are-not-consistent-with-the-class-they-belong-in-an-image-classification-problem-with-cnn
  machine-learning  -  neural-network  -  classification  -  image-classification  -  cnn
datascience.stackexchange datascience.stackexchange

How to define the input channel of a CNN model in Pytorch?

https://www.generacodice.com/cn/articolo/2698708/how-to-define-the-input-channel-of-a-cnn-model-in-pytorch
  neural-network  -  cnn  -  pytorch
datascience.stackexchange datascience.stackexchange

How do I interpret loss and accuracy per epoch while training a CNN?

https://www.generacodice.com/cn/articolo/2698543/how-do-i-interpret-loss-and-accuracy-per-epoch-while-training-a-cnn
  machine-learning  -  neural-network  -  classification  -  cnn
datascience.stackexchange datascience.stackexchange

What do the parameters used in crop mean?

https://www.generacodice.com/cn/articolo/2698251/what-do-the-parameters-used-in-crop-mean
  computer-vision  -  image-segmentation  -  image-size  -  cnn
datascience.stackexchange datascience.stackexchange

How to solve ValueError: Negative dimension size caused by subtracting 3 from 1 for '{{node model/Conv1/Conv2D}} = Conv2D… in mobilenet_v2

https://www.generacodice.com/cn/articolo/2697633/how-to-solve-valueerror-negative-dimension-size-caused-by-subtracting-3-from-1-for-node-model-conv1-conv2d-conv2d-in-mobilenet-v2
  machine-learning  -  numpy  -  tensorflow  -  keras  -  cnn
datascience.stackexchange datascience.stackexchange

How to deal with a binary classification problem, where the instances in the negative class are very similar? [duplicate]

https://www.generacodice.com/cn/articolo/2696267/how-to-deal-with-a-binary-classification-problem-where-the-instances-in-the-negative-class-are-very-similar-duplicate
  binary  -  neural-network  -  image-classification  -  cnn
datascience.stackexchange datascience.stackexchange

Why does GPU speed up inference?

https://www.generacodice.com/cn/articolo/2695743/why-does-gpu-speed-up-inference
  nlp  -  gpu  -  cnn
datascience.stackexchange datascience.stackexchange

EfficientNet function composition or Hadamard

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