Deep Learning – 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 […]

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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

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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

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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

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Data Augmentation

Deep Learning / January 21, 2025

In machine learning, the quality and quantity of data play pivotal roles in the performance of models. However, obtaining large, diverse, and labeled datasets can be a challenging task. This is where data augmentation comes into play, offering a powerful solution to enhance the training data by generating synthetic samples. Understanding Data Augmentation Data augmentation

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Transfer Learning

Deep Learning, Machine Learning, Must Read / January 21, 2025

Introduction: In machine learning, It’s the technique that allows models to leverage knowledge gained while solving one problem and apply it to a different, but related, task. This capability has revolutionized various fields, from computer vision to natural language processing. Understanding Transfer Learning: Transfer learning operates on the premise that knowledge acquired from solving one

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Inception Modules and Networks

Deep Learning, Must Read / January 21, 2025

In the ever-evolving landscape of deep learning, researchers are continually pushing the boundaries of what neural networks can achieve. Among the myriad of architectures and techniques, one stands out for its efficiency and effectiveness in handling complex visual data: the Inception Module and its eponymous network. Developed by researchers at Google, the Inception Module and

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Impact of 1×1 Convolution

Deep Learning, Must Read / January 21, 2025

Convolutional Neural Networks (CNNs) have revolutionized various fields, particularly computer vision, with their ability to extract meaningful features from input data. Among the diverse array of convolutional layers, the seemingly modest 1×1 convolution has garnered significant attention for its remarkable versatility and impact on model performance. Diving Deeper into Convolution: Before delving into the intricacies

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ResNet

Deep Learning / January 21, 2025

In the realm of artificial intelligence and machine learning, the evolution of neural network architectures has been nothing short of revolutionary. Among the plethora of architectures that have emerged, ResNet stands out as a cornerstone, reshaping the landscape of deep learning with its innovative approach to training deep neural networks. 1: The Genesis of ResNet

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VGG- Architecture

Deep Learning, Must Read / January 21, 2025

In the realm of deep learning and computer vision, the VGG16 architecture stands as a stalwart, renowned for its simplicity, effectiveness, and versatility. Developed by the Visual Geometry Group (VGG) at the University of Oxford, VGG16 has left an indelible mark on the field, serving as a benchmark for image classification tasks and paving the

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