GANs (Generative Adversarial Network) – Everything you need to know!
🤔 Ever wanted to know how the technology behind Stable Diffusion and DALL·E works?
Well, it all starts with GANs (Generative Adversarial Networks), which is what we'll be covering in this video. I explain how GANs work, the GAN adversarial loss function, how to train a GAN, and the pros and cons of using GANs.
Figma file: https://www.figma.com/file/5GbUNT1BQqgwKGuuMAjRXd/Generative-Models?type=design&node-id=0%3A1&mode=design&t=TV9p3D0g2UNvVkLH-1
TensorFlow GAN Tutorial: https://www.tensorflow.org/tutorials/generative/dcgan
Subscribe to stay tuned for the next video, where I'll be discussing the Pix2Pix architecture for image-to-image translation, which uses the GAN system.
💯 My profiles:
GitHub: https://github.com/raj-pulapakura/
LinkedIn: https://www.linkedin.com/in/rajpulapakura/
Portfolio: https://rajp.vercel.app/
✉️ Get in touch: raj.pulapakura@gmail.com
🤔 Ever wanted to know how the technology behind Stable Diffusion and DALL·E works?
Well, it all starts with GANs (Generative Adversarial Networks), which is what we’ll be covering in this video. I explain how GANs work, the GAN adversarial loss function, how to train a GAN, and the pros and cons of using GANs.
Figma file: https://www.figma.com/file/5GbUNT1BQqgwKGuuMAjRXd/Generative-Models?type=design&node-id=0%3A1&mode=design&t=TV9p3D0g2UNvVkLH-1
TensorFlow GAN Tutorial: https://www.tensorflow.org/tutorials/generative/dcgan
Subscribe to stay tuned for the next video, where I’ll be discussing the Pix2Pix architecture for image-to-image translation, which uses the GAN system.
💯 My profiles:
GitHub: https://github.com/raj-pulapakura/
LinkedIn: https://www.linkedin.com/in/rajpulapakura/
Portfolio: https://rajp.vercel.app/
✉️ Get in touch: raj.pulapakura@gmail.com
