Coding Conditional GAN in TensorFlow | Image Generation with Neural Network in TensorFlow | GAN-13

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Welcome to our course on Gan(Generative Adversarial Networks) or Image Generation with Neural Networks using TensorFlow. In this video, we'll learn about CGANs or conditional adversarial networks. cGans help us control the generator of the gan and let us generate the images of our choice from gans. In this video, we'll cover the theoretical part of the conditional gans. 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!

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Thank you!!!..This is really great. Need a video on StyleCLIP implementation in colab also...

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