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Computer Vision with Deep Learning
Master computer vision from pixels to production — build image classifiers, object detectors, and segmentation models using CNNs, transfer learning, and OpenCV.
4 sections·12 lessons
What you'll learn
1. Foundations: Images, Pixels, and OpenCV
- How Computers See: Images as Data
- Pixel Grids and Color Channels Visualized
- Essential OpenCV: Reading, Transforming, and Augmenting Images
2. Convolutional Neural Networks: The Engine of Vision
- How CNNs Learn: Filters, Feature Maps, and Pooling
- Feature Hierarchy Inside a CNN
- Building and Training an Image Classifier in PyTorch
3. Transfer Learning and Object Detection
- Transfer Learning: Standing on the Shoulders of Giants
- Object Detection: Finding What and Where
- Object Detection in Action
4. Segmentation, Evaluation, and Deployment
- Semantic and Instance Segmentation
- Computer Vision Mastery Check
- Exporting and Deploying Vision Models
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