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  • Convolutional Neural Network (CNN)

Structured Output from CNN

  • Convolutional neural network can be used for obtaining high- dimensional images rather than being used in class prediction for logistic regression or value prediction for regression problem

  • Output of the CNN model can be a tensor S(i,j,k) which represent the pixel(j,k) of ith class, such a collaborative effort can be used to precisely form a perfect image as the output.

Strategies to get output dimension same as the input are

  • Pooling is completely avoided or can use pooling with unit stride.

  • Pixel-wise labelling involves initial guess of image pixels and refining this guess by interacting with neighboring pixels by parameter sharing.

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4 years ago

References


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Data Science

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  • CNN Reference

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  • Visualizing and Understanding Convolutional Networks Paper

  • Structured Output from CNN

  • Convolutional Recurrent Neural Network (CRNN)

  • Questions about the ReLU.