What is difference between 'Channel' and 'Dimension' in CNN?

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In Convolution Neural Network, Image Matrix size is 'w * h * 3' We called '3' is Channel. In tensor, we called '3' is Dimension.

Does Dimension and Channel mean the same thing?

deep-learning machine-learning conv-neural-network
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