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    Convolutional neural networks for real-world vision.

    Course · CNNDuration · 8 weeksLevel · Intermediate — Advanced

    Eight weeks of hands-on CNN and computer vision: from convolution fundamentals through transfer learning to object detection and deployed vision systems.

    What you'll walk away with

    Outcomes by program end.

    • 01Deep understanding of CNN architectures and convolution operations
    • 02Image classification with transfer learning and fine-tuning
    • 03Object detection and segmentation with YOLO and Faster R-CNN
    • 04A deployed computer vision application

    Week-by-week

    Syllabus in order.

    1. Week 1–2
      CNN fundamentals

      Convolutions, pooling, architectures, training.

    2. Week 3–4
      Transfer learning

      ResNet, EfficientNet, fine-tuning, data augmentation.

    3. Week 5–6
      Detection & segmentation

      YOLO, Faster R-CNN, semantic segmentation.

    4. Week 7–8
      Capstone

      Build and deploy a real computer vision application.