Experimenting with Seeds

So far, we’ve thought of the seed that feeds the generator as just a random number. After a GAN has been trained, that seed can gain some interesting properties. Let’s see for ourselves.

Approach 1: Choosing values between $\;seed\; 1\;$ and $\;seed\;2$

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