An overview of Unet architectures for semantic segmentation and biomedical image segmentation
Learn everything about one of the most famous convolutional neural network architectures that is widely used on image segmentation.
Best deep CNN architectures and their principles: from AlexNet to EfficientNet
How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?
Understanding the receptive field of deep convolutional networks
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.
Intuitive Explanation of Skip Connections in Deep Learning
What are skip connections, why we need them and how they are applied to architectures such as ResNet, DenseNet and UNet.
Localization and Object Detection with Deep Learning
Explain RCNN, Fast RCNN and Faster RCNN
Semantic Segmentation in the era of Neural Networks
Semantic segmentation with deep learning
YOLO - You only look once (Single shot detectors)
Single shot detectors and how YOLO is used for object detection and localization
Neural Network from scratch-part 2
How to buld a Convolutional neural network library using C++ and OpenCL