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1_ I hadn't thought of that. To be honest, my main concern was generating the most aesthetically interesting pictures I could. However the "textures" you'd get

1_ I hadn't thought of that. To be honest, my main concern was generating the most aesthetically interesting pictures I could. However the "textures" you'd get from optimiing for the last layers would really be just repeating shapes, albeit maybe a bit smaller than you're seeing in my post. Kinda like zooming out. 2_ Oh ok, I get it now. But that's not what the program is doing. I don't generate a vector for the single layer I am maximizing, I generate an image and run the whole CNN from input to that layer, all through. Then I optimize for that layer's output. Edit to add: As stated in the post, when I "maximize for a filter", the exact function I am maximizing is the average output for that filter over the whole image.

p1esk 6y ago
Oh interesting. Then I have more questions :) 1. If you try to optimize an image that would maximize all layers outputs, how would it look like? 2. After you optimized an image to maximize some layer outputs, how do those outputs look like? 3. If you try to do what I thought you were doing - optimizing not the RGB image, but the individual layer inputs (feature maps), how would those feature maps look like? You could either plot each individual feature map, or pick top 3 with the strongest signals and combine them as RGB channels.