Coding Cycle Gan in TensorFlow | Unpaired Image Translation with Tensorflow | GAN-17 скачать в хорошем качестве

Coding Cycle Gan in TensorFlow | Unpaired Image Translation with Tensorflow | GAN-17

Welcome to our course on Gan(Generative Adversarial Networks) or Image Generation with Neural Networks using TensorFlow. In this video, we'll learn about cycle gan or unpaired image translation with conditional Gans in TensorFlow. CycleGan help us convert one image into another image like zebra to horse, segment mask into the original image, edges to cat images, etc but in an unpaired manner. In this video, we'll implement cyclegan in TensorFlow. GANs are the backbone of modern Generative AI that helps us generate new images and paintings. Gans are also used for image translation, style transfer, and video, and audio generation. This course will cover topics like GANs ( generative adversarial networks ), autoencoders, variational autoencoders, style transfer, and generative AI in TensorFlow. Get ready to dive into the world of image generation using neural networks!