Convolutional Neural Netorks (CNN)
In-layer normalization techniques for training very deep neural networks

In-layer normalization techniques for training very deep neural networks

How can we efficiently train very deep neural network architectures? What are the best in-layer normalization options? We gathered all you need about normalization in transformers, recurrent neural nets, convolutional neural networks.

Understanding the receptive field of deep convolutional networks

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.

Deep learning in medical imaging - 3D medical image segmentation with PyTorch

Deep learning in medical imaging - 3D medical image segmentation with PyTorch

The basic MRI foundations are presented for tensor representation, as well as the basic components to apply a deep learning method that handles the task-specific problems(class imbalance, limited data). Moreover, we present some features of the open source medical image segmentation library. Finally, we discuss our preliminary experimental results and provide sources to find medical imaging data.

Intuitive Explanation of Skip Connections in Deep Learning 

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.

Human Pose Estimation

Human Pose Estimation

An overview of the most popular models for performing 2D or 3D Human Pose Estimation

YOLO - You only look once (Single shot detectors)

YOLO - You only look once (Single shot detectors)

Single shot detectors and how YOLO is used for object detection and localization

Localization and Object Detection with Deep Learning

Localization and Object Detection with Deep Learning

Explain RCNN, Fast RCNN and Faster RCNN

Semantic Segmentation in the era of Neural Networks

Semantic Segmentation in the era of Neural Networks

Semantic segmentation with deep learning

Self-driving cars using Deep Learning

Self-driving cars using Deep Learning

How self driving cars work, why Deep Learning made them a reality and how to program one (sort of)

Neural Network from scratch-part 2

Neural Network from scratch-part 2

How to buld a Convolutional neural network library using C++ and OpenCL