5 votes
Accepted

What is the concept of channels in CNNs?

Say you have a colored image that is 200x200 pixels. The standard is such that the input matrix is a 200x200 matrix with 3 channels. The first convolutional layer would have a filter that is size $N×M×...
Dennis Soemers's user avatar
  • 10.3k
2 votes

Is it true that channels always represent colours of an image?

No, channels do not have to only represent colours. It is common for them to represent other things, even without considering feature maps. For instance RGBD images, where D is a depth measurement or ...
Neil Slater's user avatar
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1 vote

Is it possible to have different channel dimensions in a CNN?

You can do whatever the heck you want. Of course you will have to design the data flow through the network so that it can make whatever inferences you intend it to make. The first channel (containing ...
user253751's user avatar
1 vote

Material(s) for understanding "image channels"

Image channels have nothing to do with machine learning, they are just part of computer image processing. A channel is a number per pixel. So most colour images are stored with red, green and blue ...
user253751's user avatar
1 vote
Accepted

What does 'channel' mean in the case of an 1D convolution?

Channels can be thought of as alternate numbers in the same space. As an example, the three colour channels of a typical image are often values for amount of red, green or blue light received from ...
Neil Slater's user avatar
  • 32.1k
1 vote

What is the concept of channels in CNNs?

If you have a gray scale image, that means you are getting data from one sensor. If you have an RGB image, that means you are getting data from three sensors. If you have a CMYK image, that means you ...
Kartik Podugu's user avatar

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