Meemansha Priyadarshini

@meemansha280

Do not let the muggles get you down!!

IndiaJoined April 2022

About

I am a passionate technical writer with a strong foundation in programming, machine learning, and deep learning. My background in innovation engineering and my expertise in advanced AI technologies make me adept at explaining complex technical concepts in a clear and engaging manner. I have a keen eye for detail, strong research skills, and a commitment to producing high-quality content.

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Meemansha Priyadarshini's blogs

Meemansha Priyadarshinimeemansha.hashnode.dev12 posts

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Recently published

MPMeemansha Priyadarshinimeemansha.hashnode.devJul 15, 2025 · 3 min read

Max Pooling Explained: A Simple Guide

It's one of those clever tricks in the art of artificial intelligence that can see, and it's called max pooling. It's an important component of how computers learn to recognize things in photographs, ranging from detecting a cat in an image to more a...

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MPMeemansha Priyadarshinimeemansha.hashnode.devJul 8, 2025 · 5 min read

Understanding Convolution in Neural Networks: Filters, Padding, and Strides

Convolutional Neural Networks (CNNs) are at the heart of modern computer vision. They excel at tasks like image classification, object detection, and more, thanks to their ability to automatically extract features from images. In this blog, we'll bre...

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MPMeemansha Priyadarshinimeemansha.hashnode.devJul 4, 2025 · 3 min read

The Cat Experiment That Changed Everything

In the late 1950s and early 1960s, two scientists, David Hubel and Torsten Wiesel, wanted to understand how the brain processes images. They conducted a groundbreaking experiment on cats. The cats were given anesthesia that kept their brains awake bu...

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MPMeemansha Priyadarshinimeemansha.hashnode.devJul 1, 2025 · 3 min read

Getting to Know Convolutional Neural Networks (CNNs): How Images Are Recognized In today's AI-driven world

Convolutional Neural Networks (CNNs) are revolutionizing the way machines interpret visual data. Whether it's identifying faces, detecting objects, or segmenting images pixel-by-pixel, CNNs are the core technology powering these intelligent applicati...

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MPMeemansha Priyadarshinimeemansha.hashnode.devNov 30, 2024 · 3 min read

The Math Behind K-Means Clustering: A Simplified Overview

The computer scientist Yann LeCun famously said that if intelligence was a cake, unsupervised learning would be the cake , supervised learning would be the icing and reinforcement learning would be the cherry on the cake. So, here we are dealing with...

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Meemansha Priyadarshini

About

Available for

Meemansha Priyadarshini's blogs

Recently published

Max Pooling Explained: A Simple Guide

Understanding Convolution in Neural Networks: Filters, Padding, and Strides

The Cat Experiment That Changed Everything

Getting to Know Convolutional Neural Networks (CNNs): How Images Are Recognized In today's AI-driven world

The Math Behind K-Means Clustering: A Simplified Overview

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Meemansha Priyadarshini

About

Available for

Meemansha Priyadarshini's blogs

Recently published

Max Pooling Explained: A Simple Guide

Understanding Convolution in Neural Networks: Filters, Padding, and Strides

The Cat Experiment That Changed Everything

Getting to Know Convolutional Neural Networks (CNNs): How Images Are Recognized In today's AI-driven world

The Math Behind K-Means Clustering: A Simplified Overview