In CNN, I want to find out which activation function value has a high value. because each Image channel has a separate activation value. Highest activation value in RGB channel.
Here's a short code snippet in PyTorch:
#Assume `feature_map` is a tensor of shape (batch_size, num_channels, height, width) representing the output feature map of a convolutional layer.
rgb_channel = 0
channelrgb_feature_map = feature_map[:, rgb_channel, :, :] channelmax_activation_value, _ = torch.max(rgb_feature_map.view(1, -1), dim=1)
You can repeat this for each channel and compare them.
Christian Schmidt Thanks for your answer. Have any mathematical induction? if you have some sources please share them with me.
Imrus Salehin could you clarify what exactly you need? Examples of source code or papers on channel-wise CNN?
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