9.7 Data TypeΒΆ


Conv Net can also process input with varing spetial extents.

Image with different size:

  • No further design needed: label each pixel
  • Further design such as add pooling layers whose pooling region scale in size proportional to the size of input: one label per image



Convolution of different size of input

  • Make sense: Same kind of observation, such as different size of image, different length of recording, different width of observation over space, and so forth.
  • Not make sense: the input optionally have different kinds of observation such as convolving the same weights over features corresponding to the grades as well as the features corresponding to the test scores.