Computer Vision & Deep Learning
0 of 18 lessons complete (0%)
Exit Course
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
Real-Time Video with OpenCV
OpenCV Fundamentals for Image Handling
You don’t have access to this lesson
Please register or sign in to access the course content.
Take course
Sign in
Previous
Next