This project focuses on using auto-encoders for image noise reduction. Auto-encoders are a type of neural network that can learn to compress data and then reconstruct it, making them useful for tasks like denoising images.
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This project explores the application of auto-encoders for image noise reduction. Auto-encoders, a type of neural network, excel at learning to compress and reconstruct data, making them effective for tasks such as denoising images.
pulinduvidmal/Image-Noise-Reduction-with-Auto-encoders
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This project explores the application of auto-encoders for image noise reduction. Auto-encoders, a type of neural network, excel at learning to compress and reconstruct data, making them effective for tasks such as denoising images.
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