Learn everything about one of the most famous convolutional neural network architectures that is widely used on image segmentation.
How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?
An intuitive guide on why it is important to inspect the receptive field, as well as how the receptive field affect the design choices of deep convolutional networks.
What are skip connections, why we need them and how they are applied to architectures such as ResNet, DenseNet and UNet.
Explain RCNN, Fast RCNN and Faster RCNN
Semantic segmentation with deep learning
Single shot detectors and how YOLO is used for object detection and localization
How to buld a Convolutional neural network library using C++ and OpenCL