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
Review:
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.