Deep Learning

The main difference between AI vs Machine Learning vs Deep Learning

Machine learning vs deep learning

The main difference between AI vs Machine Learning vs Deep Learning.. Many misconceptions surround the word “word” today. Machine learning? Deep learning And artificial intelligence(AI) . Most people believe that all these things are the same. When they hear the term AI, they immediately associate it with machine learning. Let’s find out how. So we have explain  Machine Learning vs Deep Learning as…

Multi-Task Learning for Deep Learning

Multi task learning

Multi-task learning is a sub-field within Deep Learning. It is recommended that you familiarize yourself with the concepts of neural networks to understand what multi-task learning means. What is Multi-Task Learning and how can it help you? Multi-task learning is a subfield of Machine Learning. It aims to solve multiple tasks simultaneously by taking advantage the similarities between the tasks. This can increase the learning efficiency…

WNet segmentation for unsupervised Images

WNET segmentation

WNet  WNet  segmentation  This is a tensorflow implementation of WNet  segmentation for unsupervised image segmentation. The architecture in WNet segmentation for unsupervised image classification  based on  shape that can be rebuilt Original input images and predictions of the segmentation Maps without labeling information. W-Net architecture consists of an UEnc on the left and a corresponding UDec on the right. It contains 46 Convolutional layers are organized into 18…

An Introduction to Graph Neural Networks (Basics and DeepWalks)

graph neural network

Graph Neural Network (GNN), has been gaining popularity in a variety of domains such as social network, knowledge graphs, recommender systems, and even life sciences. GNN’s ability to model dependencies between nodes within a graph has enabled breakthroughs in graph analysis research. This article will introduce the basics and two more advanced algorithms, DeepWalk (GraphSage), to Graph Neural Network. Graph: Before we dive into…

Multiclass Classification using Deep Learning

multiclass

Multiclass classification is a technique in machine learning classification tasks that consists of more than two classes. In multiclass classification processes, the assigning of outcome or output is based on the class with the highest probability. This article is for image processing and computer vision lover. If any one wants to learn how AI works and used machine learning ,deeplearning to handle …

Semantic Segmentation with UNET

1. Introduction: Computer vision is an interdisciplinary scientific field that involves how to enable computers to obtain high-level understanding from digital images or videos. From an engineering perspective, it seeks to automate tasks that the human visual system can perform. Deep learning has allowed rapid development in the field of computer vision in recent years. In this article, I want to discuss…