What does it mean for an image to have 512 channels?

Course Q&A Generative Adversarial Networks (GANS) Build Better Generative Adversarial Networks
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Hi Hon,

You are right, it’s just referring to image with 512 feature dimensions and not more than 3 (rgb) color dimensions. It’s just assuming that the image has passed through a convolution layer and has the specified number of features.

This link explains in details how different filters in the convolution layer can lead to different output dimensions.

Hope this helps.

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