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   What is CNN (convolutional neural network)?

   • In this article, we explore what is CNN, or convolutional neural network, a fundamental concept in d eep learning. A convolutional neural network is a type of CNN model that employs the CNN algorithm to analyze data. This technique is integral to CNN ML and CNN machine learning, where it excels in image processing.

   Introduction to Convolutional Neural Networks (CNN) - Analytics Vidhya

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   What is a neural network (CNN)?

   • Convolutional Neural Networks (CNNs) are a type of deep learning model specifically designed for processing and analyzing image data. They use filters to extract features from images, and then use these features to make predictions. CNNs are commonly used for tasks like image classification, object detection, and image segmentation.

   Introduction to Convolutional Neural Networks (CNN) - Analytics Vidhya

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   What is a CNN used for?

   • CNNs are widely used in areas such as image classification, object detection, facial recognition, and medical image analysis. The convolutional layers are the key component of a CNN, where filters are applied to the input image to extract features such as edges, textures, and shapes.

   Convolutional Neural Network (CNN) in Machine Learning

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   When was CNN first used?

   • CNNs were first developed and used around the 1980s. The most that a Convolutional Neural Network (CNN) could do at that time was recognize handwritten digits. It was mostly used in the postal sector to read zip codes, pin codes, etc.

   Introduction to Convolutional Neural Networks (CNN) - Analytics Vidhya

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2. www.geeksforgeeks.org › convolutional-neuralConvolutional Neural Network (CNN) in Machine Learning

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   Mar 13, 2024 · A Convolutional Neural Network (CNN) is a type of deep learning algorithm that is particularly well-suited for image recognition and processing tasks. It is made up of multiple layers, including convolutional layers, pooling layers, and fully connected layers.

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3. www.datacamp.com › tutorial › introduction-toAn Introduction to Convolutional Neural Networks (CNNs)

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   Nov 14, 2023 · What is a Convolutional Neural Network (CNN)? A Convolutional Neural Network (CNN), also known as ConvNet, is a specialized type of deep learning algorithm mainly designed for tasks that necessitate object recognition, including image classification, detection, and segmentation.

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4. www.ibm.com › topics › convolutional-neural-networksWhat are Convolutional Neural Networks? | IBM

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   What are convolutional neural networks? Convolutional neural networks use three-dimensional data for image classification and object recognition tasks. Neural networks are a subset of machine learning, and they are at the heart of deep learning algorithms.

5. Videos

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     Convolutional Neural Networks (CNNs) explained

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     What are Convolutional Neural Networks (CNNs)?

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     20:04

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     Convolutional Neural Network (CNN) in Machine Learning - GeeksforGeeks

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6. www.geeksforgeeks.org › introduction-convolutionIntroduction to Convolution Neural Network - GeeksforGeeks

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   Sep 9, 2024 · 1: What is a Convolutional Neural Network (CNN)? A Convolutional Neural Network (CNN) is a type of deep learning neural network that is well-suited for image and video analysis. CNNs use a series of convolution and pooling layers to extract features from images and videos, and then use these features to classify or detect objects or scenes.

7. learnopencv.com › understanding-convolutionalConvolutional Neural Network (CNN): A Complete Guide

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   Convolutional Neural Network (CNN) forms the basis of computer vision and image processing. In this post, we will learn about Convolutional Neural Networks in the context of an image classification problem. We first cover the basic structure of CNNs and then go into the detailed operations of the various layer types commonly used.

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8. en.wikipedia.org › wiki › Convolutional_neural_networkConvolutional neural network - Wikipedia

   en.wikipedia.org › wiki › Convolutional_neural_network

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   A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [ 1 ]

9. www.analyticsvidhya.com › convolutional-neuralIntroduction to Convolutional Neural Networks (CNN)

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   Mar 24, 2023 · A convolutional neural network is a type of CNN model that employs the CNN algorithm to analyze data. This technique is integral to CNN ML and CNN machine learning, where it excels in image processing.