Sandeep Bhuiya - OpenGenus IQ: Learn Computer Science

Overview of Semantic Segmentation

Semantic Segmentation is the process of labeling pixels present in an image into a specific class label. It is considered to be a classification process which classifies each pixel. The process of predicting each pixel in the class is known as dense prediction.

Machine Learning (ML)

Graph Convolution Network (GCN)

Graph Convolution Network (GCN) are variants of Convolution Neural Network which brings in key ideas from Graph Theory. We have covered the key ideas of Graph Convolution Network (GCN) in depth.

Machine Learning (ML)

Capsule neural networks or CapsNet

Capsule neural networks or CapsNet is an artificial neural network which consists of capsules(bunch of neurons) which allow us to confirm if entities(components) are present in the image. We will cover Capsule Networks in depth.

Machine Learning (ML)

Disadvantages of CNN models

CNN (Convolutional Neural Network) is the fundamental model in Machine Learning and is used in some of the most applications today. There are some drawbacks of CNN models which we have covered and attempts to fix it.

Data Structures

Circular Linked List

Circular Linked list is a complex form of a linked list data structure as within a circular linked list the last node points to the first node of the list. We have covered it in detail with all operations and implementation in Java.