CNN

Convolutional Neural Networks (CNNs) are a specialized class of deep learning algorithms primarily used for image recognition and classification tasks. Inspired by the human visual system, CNNs excel at extracting high-level features from complex inputs, such as images. They operate by applying convolutional layers that utilize filters to identify patterns and important characteristics within the data. This ability to learn features automatically reduces the need for extensive preprocessing compared to traditional machine learning methods. CNNs have become foundational in various applications, including object detection, facial recognition, and autonomous driving, showcasing their effectiveness in visual data analysis.

CNN (Convolution Neural Network)

Analytics Vidhya

Why CNN ?. “CNN (Convolution Neural Network)” is published by Tanuj Shrivastava in Analytics Vidhya.

CNN — quick learn

Analytics Vidhya

you would think a normal machine learning classifier also can do the same thing, so why we need this CNN, well it’s all about speed and computation and accuracy. Now that ‘ ConvNet with filter +…

Build your first CNN

Towards Data Science

Convolutional Neural Networks (CNN) are a type of Deep Neural Network that are efficient in image recognition and classification. They accept an image as input, extract features from it through…

CNN: Can a computer really see?

Towards Data Science

Convolutional Neural Network (CNN or ConvNet) is a class of Deep Learning, inspired from the human vision system and specialized in extracting high-level features from complex inputs such as images…

An Overview of Convolutional Neural Network (CNN)

Analytics Vidhya

The convolutional neural network (CNN) is a class of deep learning neural networks. CNN represents a huge breakthrough in image recognition. They’re most commonly used to analyze visual imagery and…

CNN Sentiment Analysis

Towards Data Science

Convolutional neural networks, or CNNs, form the backbone of multiple modern computer vision systems. Image classification, object detection, semantic segmentation — all these tasks can be tackled by…...

CNN Architectures, a Deep-dive

Towards Data Science

In Deep Learning, a Convolutional Neural Network(CNN) is a class of deep neural networks, most commonly applied to analyzing visual imagery. Convolutional Neural Networks are state of the art models…

CNN with custom dataset

Analytics Vidhya

You would find many articles and videos on Youtube about the functioning of CNN . The idea behind writing this article is to shift from the normal norm and share some additional information along…

Understand the architecture of CNN

Towards Data Science

In 2012, a revolution occurred: during the annual ILSVRC computer vision competition, a new Deep Learning algorithm exploded the records! It’s a convolutional neural network called Alexnet…

How should I start with CNN?

Becoming Human: Artificial Intelligence Magazine

If you have even a bit of interest toward Machine Learning, I bet you would have heard this word “CNN”. For learning enthusiasts, well, there isn’t even a single article or research paper on deep…

Basics of the Classic CNN

Towards Data Science

Convolutional neural networks. Sounds like a weird combination of biology and math with a little CS sprinkled in, but these networks have been some of the most influential innovations in the field of…...

What are Convolutional Neural Network (CNN)?

Becoming Human: Artificial Intelligence Magazine

In the previous article I have talked a lot about deep learning, neural networks, and types of them but today in this article we will learn about CNN a type of neural network in deep learning. What is...