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#conditionalgans — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #conditionalgans, aggregated by home.social.

  1. Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

    🌍 fabriziomusacchio.com/blog/202

    #MachineLearning #GenerativeAI #CGAN #GAN

    (The attached GIF shows the interpolation between the digits 6 and 1)

  2. Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

    🌍 fabriziomusacchio.com/blog/202

    #MachineLearning #GenerativeAI #CGAN #GAN

    (The attached GIF shows the interpolation between the digits 6 and 1)

  3. Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

    🌍 fabriziomusacchio.com/blog/202

    #MachineLearning #GenerativeAI #CGAN #GAN

    (The attached GIF shows the interpolation between the digits 6 and 1)

  4. Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

    🌍 fabriziomusacchio.com/blog/202

    #MachineLearning #GenerativeAI #CGAN #GAN

    (The attached GIF shows the interpolation between the digits 6 and 1)

  5. Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

    🌍 fabriziomusacchio.com/blog/202

    #MachineLearning #GenerativeAI #CGAN #GAN

    (The attached GIF shows the interpolation between the digits 6 and 1)