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ASAkhilesh Sohotooakhilesh.sohotooFeb 25 · 3 min read

How U-Net Helps in Image Segmentation : My Early Findings

Introduction Over the past weeks, I’ve been exploring deep learning models for image segmentation, especially in the context of medical imaging. One architecture that keeps standing out is U-Net. Even

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NSNitin Sharmapath2ml.comJan 29 · 7 min read

Implementing a ResNet-34 CNN Using PyTorch

A while ago, I authored an article Implementing ResNet CNN that provided a detailed explanation of ResNet Convolutional Neural Networks (CNN) along with an implementation using TensorFlow. In this upcoming article, we will take a closer look at ResNe...

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NSNitin Sharmapath2ml.comJan 27 · 5 min read

Convolutional Neural Network

A convolutional neural network (CNN) is an advanced deep learning architecture designed for the identification and classification of images. In addition to image recognition, CNNs are utilized for object detection within images, audio classification,...

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DGDeeksha Guptadeeksha-ai.hashnode.devDec 17, 2025 · 4 min read

Building a Handwritten OCR System Using LLMs and Deep Learning

Deeksha Gupta Abstract Handwritten Optical Character Recognition (OCR) remains a challenging problem due to variations in handwriting styles, noise in scanned documents, and context ambiguity. This article presents a modern approach combining Large ...

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RVRishit Vakarecmiyc.hashnode.devSep 1, 2025 · 1 min read

Brain MRI Tumor Classification : Convolutional Neural Networks vs Vision Transformers

CNNs vs. ViTs in Brain MRI Imaging Paper GitHub Repository Contributor(s) : Prathik Senthil (Georgia Tech)

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HDHarvey Ducayhddatascience.techAug 24, 2025 · 8 min read

Building Intuition for Convolutional Neural Networks

The motivation behind Convolutional Neural Networks (CNNs) comes from the inability of traditional dense neural networks to perform well on image classification tasks. Why is that? A dense network, also known as a fully-connected network, treats an i...

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UNUnaiza Noumanconvolutionalneuralnetworks.hashnode.devAug 24, 2025 · 6 min read

Demystifying Convolutional Neural Networks: The Brains Behind Computer Vision

Introduction As we delve deeper into machine learning, we encounter tasks that require machines not just to make decisions, but to “see.” This is where Convolutional Neural Networks (CNNs) come into play, a specialized subset of deep learning models ...

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NSNitin Sharmapath2ml.comJul 27, 2025 · 14 min read

Implementing Convolutional Neural Network using PyTorch

My Previous article “ convolutional neural network **“**explained about the architecture of CNN and how it works. Another article “Implementing CNN using TensorFlow” showed how to implement CNN using TensorFlow. In this article, we will explore the p...

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YSYusuf Solomonysolomon.hashnode.devApr 19, 2025 · 8 min read

Getting Started with Image Classification Using CNNs: Traffic Signs and Plant Diseases.

Introduction In the world of artificial intelligence, computer vision and image classification are one of the most widely used applications, allowing machines to identify and categorize images based on visual features. From autonomous vehicles recogn...

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DDeepQueryresources.deepqueryengine.comApr 16, 2025 · 2 min read

DeepQuery's AI-Driven Realtime Livestock Behaviour Detection System

Introduction In the realm of smart agriculture, real-time monitoring of livestock behaviour is pivotal for ensuring animal welfare and optimizing farm management. Traditional methods, relying heavily on manual observation, are time-consuming and pron...

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Trending tags this week

How U-Net Helps in Image Segmentation : My Early Findings

Implementing a ResNet-34 CNN Using PyTorch

Convolutional Neural Network

Building a Handwritten OCR System Using LLMs and Deep Learning

Brain MRI Tumor Classification : Convolutional Neural Networks vs Vision Transformers

Building Intuition for Convolutional Neural Networks

Demystifying Convolutional Neural Networks: The Brains Behind Computer Vision

Implementing Convolutional Neural Network using PyTorch

Getting Started with Image Classification Using CNNs: Traffic Signs and Plant Diseases.

DeepQuery's AI-Driven Realtime Livestock Behaviour Detection System