Experimenting with Seeds
Learn how GAN can generate different images using a combination of seed values.
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 and
Imagine two different seeds, and . We can generate images from both of these seeds. Now imagine a seed that was half way between and . What would the generated image look like? In fact, what would images look like for seeds at regular intervals between and ?
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