All drills

Learn Fast Generative Adversarial Network

What you'll be able to do

Generate realistic new images — the tech behind synthetic media, data augmentation, and creative AI.

NVIDIA StyleGAN/Canvas, Adobe Photoshop generative features, GAN super-resolution (ESRGAN/Topaz), and synthetic data.
Start this internship
Create an account to unlock the 4 sections, the workbench, and AskThili.
Begin

Sections

1. Learn Fast Generative Adversarial Network
🔒 locked
2. Introduction to GAN
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3. Training a GAN
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4. Conditional GAN
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Dig deeper

📄Generative Adversarial Networks (Goodfellow et al., 2014)
paper
📄Unsupervised Representation Learning with DCGANs (Radford et al., 2015)
paper
🔗DCGAN Tutorial — PyTorch docs
article

Part of these learning paths

I'm a software engineer and I want to specialize in computer vision
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