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Capsule-Networks-For-Image-Recognition

A system that uses Capsule Networks (CapsNets) to recognize and classify images by preserving spatial relationships between features. It improves object recognition accuracy by modeling part-to-whole relationships better than traditional CNNs.

Project include:

  1. Synopsis
  2. PPT
  3. Research Paper
  4. Code
  5. Explanation video
  6. Documents
  7. Report

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Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Capsule Networks for Image Recognition leverages deep learning to capture spatial hierarchies and improve image classification accuracy, making models more robust to rotations and distortions.

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