The growing field of Deep Learning (DL) has major implications for critical and even life-saving practices, as in medical imaging....

Doctors have been using medical imaging techniques to diagnose diseases like cancer for many years. However, Artificial Intelligence (AI) has...

With successful experimental results and wide applications, Deep Learning (DL) has the potential to change the future of healthcare. The...

A capsule network is a neural network architecture developed by Stanford scientist Geoffrey Hinton. In the capsule network, a distinct...

Fully connected layers are an essential component of Convolutional Neural Networks (CNNs), which have been proven very successful in recognizing...

The world around us is full of detail, and we intuitively understand the difference between natural and fake objects. The...

The perceptron is the basic unit powering what is today known as deep learning. It is the artificial neuron that,...

Advances in the field of computer vision have been spearheaded by the adoption of Convolutional Neural Networks (CNNs). There are a...

Convolutional Neural Networks (CNNs) were originally designed for deep learning computer vision tasks, but they have proven highly useful for Natural...

A Graph Neural Network, also known as a Graph Convolutional Network (GCN), is an image classification method. In this article,...