Generative Adversarial Networks

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Sofia Clark 25 Nov 2024

GANs have revolutionized fields like art, deepfake generation, and data augmentation, enabling advanced creative applications.

What are Generative Adversarial Networks (GANs)? GANs are a deep learning model used for generating realistic data by training two neural networks in opposition. The generator creates data, and the discriminator evaluates it, providing feedback. Over time, this process helps the generator improve its output. GANs are widely used in image generation, video synthesis, and even creating realistic audio samples. Their ability to create high-quality synthetic data has transformed various industries, including entertainment and research.