Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [channel]

For questions related to the concept of a channel of an image (or feature map) in the context of artificial intelligence and, in particular, computer vision and convolutional neural networks.

8 questions
9
votes
2 answers

What is the concept of channels in CNNs?

I am trying to understand what channels mean in convolutional neural networks. When working with grayscale and colored images, I understand that the number of channels is set to 1 and 3 (in the first conv layer), respectively, where 3 corresponds to…
anonuser01
  • 321
  • 1
  • 3
  • 13
2
votes
1 answer

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

Convolutional neural networks are widely used in image-related tasks in artificial intelligence. The input of a conventional neural network is generally an image. The output of a convolutional neural network can also be an image. But the output of…
hanugm
  • 3,571
  • 3
  • 18
  • 50
2
votes
0 answers

What is an "additional channel dimension" contain in batch normalization?

Consider the following explanations regarding batch normalization layers in PyTorch #1: one dimensional batch normalization class torch.nn.BatchNorm1d(.........) Applies Batch Normalization over a 2D or 3D input (a mini-batch of 1D inputs with…
hanugm
  • 3,571
  • 3
  • 18
  • 50
2
votes
2 answers

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

While reading about 1D-convolutions in PyTorch, I encountered the concept of channels. in_channels (int) – Number of channels in the input image out_channels (int) – Number of channels produced by the convolution Although I encountered this…
hanugm
  • 3,571
  • 3
  • 18
  • 50
1
vote
0 answers

What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?

Suppose I have a feature map with size $C_1 \times H \times W$. And I need to convert it into a feature map of size $C_2 \times H \times W$. One way to do this is to use convolutional neural networks as Conv2d($C_1, C_2$) I want to know whether…
hanugm
  • 3,571
  • 3
  • 18
  • 50
1
vote
1 answer

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

Let's say I have two channels that I wish to feed into a CNN. One of the channel contains 4 traces and has a width of 512. Stacking them on top of each other therefore yields an image with dimensions (4, 512). The other channel is just 1 trace, so…
Sigfrid Stjärnholm
  • 11
  • 1
1
vote
1 answer

Is a convolutional layer capable of converting, for example, a binary image into an RGBA image?

I am asking this question for a better understanding of the concept of channels in images. I am aware that a convolutional layer generates feature maps from a given image. We can adjust the size of the output feature map by proper padding and…
hanugm
  • 3,571
  • 3
  • 18
  • 50
0
votes
1 answer

Material(s) for understanding "image channels"

I am pretty confused about the concept of "image channels". I want material that explains the concept of channels from scratch to whatever is required to understand their role in machine learning. I think that it is a small concept and possibly…
hanugm
  • 3,571
  • 3
  • 18
  • 50