Artificial Intelligence – Arunangshu Das Blog

Image Enhancement Techniques in Deep Learning

Image Enhancement: Top 10 Techniques in Deep Learning

Deep Learning, Must Read / January 12, 2025

In image processing, deep learning has emerged as a powerful tool for enhancing images. Whether it’s sharpening blurry images, denoising photos, or improving image resolution, deep learning techniques have revolutionized the way we perceive and manipulate visual data. 1. Super-Resolution Super-resolution aims to enhance the resolution of an image, increasing its clarity and detail. Deep […]

Image Enhancement: Top 10 Techniques in Deep Learning Read More »

NLP: Fine-Tuning Pre-trained Models for Maximum Performance

NLP / January 12, 2025

In Natural Language Processing (NLP), pre-trained models have become the cornerstone of many cutting-edge applications. These models, often trained on vast amounts of text data, possess the ability to understand and generate human-like language. However, achieving optimal performance with pre-trained models requires more than just plugging them into your application. Fine-tuning, a process where a

NLP: Fine-Tuning Pre-trained Models for Maximum Performance Read More »

NLP for Bias Detection and Mitigation

NLP / January 12, 2025

In today’s world, where data guides decisions in many areas, it’s crucial to be fair. But, there’s a big problem: data often contains biases, which can make automated systems unfair. Natural Language Processing (NLP) offers solutions to find and fix these biases, giving hope for fairer outcomes. Understanding Bias in NLP Bias in NLP refers

NLP for Bias Detection and Mitigation Read More »

What are Large Language Models (LLMs)?

NLP / January 12, 2025

In recent years, large language models (LLMs) have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These algorithms have the ability to understand, generate, and manipulate human language with unprecedented accuracy and fluency. Understanding Large Language Models: Large language models, also known as LLMs, are advanced AI systems designed to process

What are Large Language Models (LLMs)? Read More »

Text Embeddings in NLP

Must Read, NLP / January 12, 2025

In Natural Language Processing (NLP), where machines endeavor to understand and generate human language, text embeddings stand as the cornerstone of modern techniques. Text embeddings are numerical representations of text data that capture semantic and syntactic information, enabling machines to comprehend and process human language more effectively. Understanding Text Embeddings Text embeddings transform raw text

Text Embeddings in NLP Read More »

Named Entity Recognition (NER) in Natural Language Processing (NLP)

Must Read, NLP / January 21, 2025

In Natural Language Processing (NLP), Named Entity Recognition (NER) stands as a fundamental technique with remarkable potential. It’s the key that unlocks the treasure trove of information concealed within textual data. From extracting entities like names of people, organizations, locations, dates, and more, NER revolutionizes how we comprehend, analyze, and interact with language. Understanding Named

Named Entity Recognition (NER) in Natural Language Processing (NLP) Read More »

BERT

Must Read, NLP / January 21, 2025

In the world of computers and language, understanding human language has always been really hard. But now, things are changing thanks to a cool new technique called BERT. It’s like a super smart tool that helps computers understand language better. It’s making a big difference in how we use computers to understand what people are

BERT Read More »

YOLO Algorithm: An Introduction to You Only Look Once

Deep Learning / January 21, 2025

In computer vision and object detection, algorithm that stands out for its efficiency and accuracy: YOLO, short for You Only Look Once. Developed by Joseph Redmon and Santosh Divvala, YOLO revolutionized object detection by introducing a single neural network architecture capable of detecting objects in real-time with impressive precision. What is YOLO? YOLO Algorithm is

YOLO Algorithm: An Introduction to You Only Look Once Read More »

Object Localization in Computer Vision

Deep Learning / January 21, 2025

In computer vision, the ability of machines to understand and interpret visual data has made significant strides in recent years. One crucial task within this domain is object localization. Whether it’s autonomous vehicles identifying pedestrians on the road, surveillance systems detecting intruders, or medical imaging diagnosing diseases, object localization plays a pivotal role. Understanding Object

Object Localization in Computer Vision Read More »

Computer Vision: Trends, Challenges, and Future Directions

Deep Learning / January 21, 2025

In artificial intelligence, few fields have captured the imagination and accelerated innovation as rapidly as computer vision. From enabling autonomous vehicles to revolutionizing healthcare diagnostics, computer vision has transcended its roots as a niche research area to become a cornerstone of modern technological advancements. 1. Achievements: Deep Learning Dominance: In recent years, deep learning has

Computer Vision: Trends, Challenges, and Future Directions Read More »