The network receives grayscale input (L channel) and outputs color predictions (*a*b channels). The discriminator uses a PatchGAN design that classifies N×N patches as real or fake, rather than ...

Dive into image denoising magic! This project uses Attention U-Net and PatchGAN to tackle noise types like low Gaussian and salt-and-pepper noise. Perfect for computer vision, deep learning, and ...

These brokers offer free paper trading accounts, several types of assets to practice with and $100,000 or more in fake cash. Many, or all, of the products featured on this page are from our ...