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nbro
nbro
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How does the Generatorgenerator in GAN's work?

After reading a lot of articles (for instance, this one - https://developers.google.com/machine-learning/gan/generator  )...

, I've been wondering: Howhow does the Generatorgenerator in GAN's work?

What is the Generator input to the generator? What What is the meaning behind "input noise"?

As I've read, the only input that the Generatorgenerator receives is a random noise, which is weird.

If I would like to create a similar picture of x$x$, and put as an input a matrix of random numbers (noise) - it would take A LOT of training until I would get some sort of picture x*$x^*$, that is similar to the source picture x$x$.

The algorithm should receive some type of reference or a basic dataset (for instance, the set of x's$x$'s) in order to start the generation of the fake image x*$x^*$.

How does the Generator in GAN's work?

After reading a lot of articles (for instance, this one - https://developers.google.com/machine-learning/gan/generator  )...

I've been wondering: How does the Generator in GAN's work?

What is the Generator input? What is the meaning behind "input noise"?

As I've read, the only input that the Generator receives is random noise, which is weird.

If I would like to create a similar picture of x, and put as an input a matrix of random numbers (noise) - it would take A LOT of training until I would get some sort of picture x*, that is similar to the source picture x.

The algorithm should receive some type of reference or a basic dataset (for instance set of x's) in order to start the generation of the fake image x*.

How does the generator in GAN's work?

After reading a lot of articles (for instance, this one - https://developers.google.com/machine-learning/gan/generator), I've been wondering: how does the generator in GAN's work?

What is the input to the generator? What is the meaning behind "input noise"?

As I've read, the only input that the generator receives is a random noise, which is weird.

If I would like to create a similar picture of $x$, and put as an input a matrix of random numbers (noise) - it would take A LOT of training until I would get some sort of picture $x^*$, that is similar to the source picture $x$.

The algorithm should receive some type of reference or a basic dataset (for instance, the set of $x$'s) in order to start the generation of the fake image $x^*$.

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Shir K
Shir K
  • 183
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How does the Generator in GAN's work?

After reading a lot of articles (for instance, this one - https://developers.google.com/machine-learning/gan/generator )...

I've been wondering: How does the Generator in GAN's work?

What is the Generator input? What is the meaning behind "input noise"?

As I've read, the only input that the Generator receives is random noise, which is weird.

If I would like to create a similar picture of x, and put as an input a matrix of random numbers (noise) - it would take A LOT of training until I would get some sort of picture x*, that is similar to the source picture x.

The algorithm should receive some type of reference or a basic dataset (for instance set of x's) in order to start the generation of the fake image x*.