タグcnn - これはページ101です - GeneraCodice

What is the shape of conv3d and conv3d_transpose?

https://www.generacodice.com/jp/articolo/1496863/what-is-the-shape-of-conv3d-and-conv3d-transpose
  deep-learning  -  convnet  -  tensorflow  -  cnn
datascience.stackexchange datascience.stackexchange

What are “VGG54” and “VGG22” derived from the VGG19 CNN?

https://www.generacodice.com/jp/articolo/1496667/what-are-vgg54-and-vgg22-derived-from-the-vgg19-cnn
  deep-learning  -  cnn  -  gan
datascience.stackexchange datascience.stackexchange

Questions about CNN: weights and biases

https://www.generacodice.com/jp/articolo/1496592/questions-about-cnn-weights-and-biases
  machine-learning  -  deep-learning  -  tensorflow  -  cnn
datascience.stackexchange datascience.stackexchange

Is there an intuitive explanation why some neural networks have more than one fully connected layers?

https://www.generacodice.com/jp/articolo/1496575/is-there-an-intuitive-explanation-why-some-neural-networks-have-more-than-one-fully-connected-layers
  neural-network  -  deep-learning  -  cnn
datascience.stackexchange datascience.stackexchange

Updating the weights of the filters in a CNN

https://www.generacodice.com/jp/articolo/1496407/updating-the-weights-of-the-filters-in-a-cnn
  machine-learning  -  neural-network  -  deep-learning  -  image-classification  -  cnn
datascience.stackexchange datascience.stackexchange

Can dropout and batch normalization be applied to convolution layers

https://www.generacodice.com/jp/articolo/1496367/can-dropout-and-batch-normalization-be-applied-to-convolution-layers
  machine-learning  -  deep-learning  -  cnn
datascience.stackexchange datascience.stackexchange

First layer weights for transfer learning with new input tensor in keras.applications models?

https://www.generacodice.com/jp/articolo/1495627/first-layer-weights-for-transfer-learning-with-new-input-tensor-in-keras-applications-models
  machine-learning  -  keras  -  cnn
datascience.stackexchange datascience.stackexchange

What is the difference between 8 filters twice and one 16 filters in convolutional layers at CNN?

https://www.generacodice.com/jp/articolo/1495510/what-is-the-difference-between-8-filters-twice-and-one-16-filters-in-convolutional-layers-at-cnn
  convolution  -  convnet  -  cnn
datascience.stackexchange datascience.stackexchange

How to update bias in CNN?

https://www.generacodice.com/jp/articolo/1495500/how-to-update-bias-in-cnn
  machine-learning  -  backpropagation  -  deep-learning  -  cnn
datascience.stackexchange datascience.stackexchange

Can I train two stacked models end-to-end on different resolutions?

https://www.generacodice.com/jp/articolo/1495409/can-i-train-two-stacked-models-end-to-end-on-different-resolutions
  ocr  -  machine-learning  -  neural-network  -  rnn  -  cnn
datascience.stackexchange datascience.stackexchange
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