Introduction In the world of deep learning and computer vision, convolutional neural networks (CNNs) have played a transformative role. Among the most notable CNN architectures are VGG and LeNet-5, each representing a milestone in the evolution of deep learning. LeNet-5, introduced by Yann LeCun in 1998, marked the beginning of CNNs for digit recognition tasks, … Read more
Introduction to Regression in Deep Learning Regression is a fundamental concept in machine learning and deep learning, where the goal is to predict continuous values. From predicting house prices to forecasting stock trends, regression models serve as the backbone of many practical applications. Deep learning, with its ability to handle complex and high-dimensional data, takes … Read more
In today’s digital landscape, web applications are exposed to various security vulnerabilities, with Cross-Site Scripting (XSS) attacks being one of the most common and dangerous. XSS attacks exploit security weaknesses on the client side, allowing attackers to inject malicious scripts into web pages viewed by users. When these scripts are executed, they can steal sensitive … Read more
In today’s fast-paced software development world, the terms “CI/CD” have become essential. Short for Continuous Integration (CI) and Continuous Delivery/Deployment (CD), these practices have transformed how teams build, test, and deploy software, resulting in higher quality, faster releases, and greater customer satisfaction. 1. Understanding CI/CD What is CI (Continuous Integration)? Continuous Integration (CI) is a … Read more
In the world of DevOps, containerization has become a transformative technology, reshaping how applications are developed, deployed, and managed. By packaging software in “containers,” teams can create isolated environments that bundle an application with its dependencies, allowing for consistent operation across various environments. This guide will dive into how containerization works in DevOps, its advantages, … Read more