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The core technology driving Neural Filters is based on deep learning, a subset of machine learning that involves neural networks with many layers. These neural networks are trained on vast datasets of images, learning to recognize patterns, textures, and features. When a user applies a Neural Filter in Photoshop, the plugin uses this learned knowledge to analyze the image and apply the desired effect. neural filters photoshop plugin work
: Reconstructs colors for black-and-white photos by identifying objects like skin, trees, and sky, and applying realistic hues. learning to recognize patterns