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“Semantic segmentation is a fundamental task in computer vision that involves partitioning an image into meaningful segments. The U-Net model is a popular architecture for semantic segmentation, widely used in various applications, such as medical imaging, autonomous vehicles, and many more. This article will walk you through an end-to-end guide

“In a world filled with amazing technological advancements, there's a special kind of artificial intelligence that is making conversations more exciting and informative than ever before. It's called ChatGPT! Designed to assist and engage with users of all ages, ChatGPT is an AI-powered virtual companion that

A Convolutional Neural Network (CNN) is a type of Deep Learning neural network architecture commonly used in Computer Vision. Computer vision is a field of Artificial Intelligence that enables a computer to understand and interpret the image or visual data.   In a regular Neural Network there are three types of

ChatGPT is an AI chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails. Introduction: In recent years, advancements in artificial intelligence (AI) have revolutionized the way we

Text classification is a natural language processing (NLP) task that involves automatically categorizing or assigning predefined labels to text documents based on their content. The goal is to develop a machine learning model that can learn from labeled training data and accurately predict the class or category of unseen or

Introduction: ChatGPT, an advanced language model developed by OpenAI, offers numerous applications and benefits in the healthcare sector. With its natural language processing capabilities and ability to generate human-like responses, ChatGPT can be utilized in patient education, symptom assessment, appointment scheduling, medication management, mental health support, continuing medical education, language

Introduction: Artificial Neural Networks (ANNs) are a class of machine learning models inspired by the structure and functionality of biological neural networks in the human brain. ANNs have gained significant attention and popularity due to their ability to learn from data, recognize patterns, and make predictions or decisions in a