Computer Vision & Deep Learning
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Convolutional Neural Networks from Scratch
How Convolutions Turn Pixels into Features
Preview
Pooling Activation and the Anatomy of a CNN
Training Your First CNN End to End
3 lessons
Transfer Learning with Modern Backbones
Why Pretrained Backbones Beat Training from Zero
Fine-Tuning ResNet and EfficientNet the Right Way
Vision Transformers and When to Choose Them
3 lessons
Object Detection in Practice
Framing the Detection Problem and Its Metrics
One-Stage Detection Speed with YOLO
Two-Stage Precision and Transformer Detection with DETR
3 lessons
Image Segmentation Techniques
From Boxes to Masks in Semantic and Instance Segmentation
U-Net and the Encoder-Decoder Pattern
Instance Masks with Mask R-CNN
3 lessons
Real-Time Video with OpenCV
OpenCV Fundamentals for Image Handling
Building a Real-Time Video Inference Pipeline
Classical Vision Tools That Still Earn Their Keep
3 lessons
Deploying Vision Models to Production
Exporting Models with ONNX
Accelerating Inference with TensorRT
Serving Monitoring and Maintaining Vision Models
3 lessons
Transfer Learning with Modern Backbones
Vision Transformers and When to Choose Them
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