Convolutional neural network - Wikipedia
A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and …
Introduction to Convolution Neural Network - GeeksforGeeks
Jul 11, 2025 · Convolutional Neural Network (CNN) is an advanced version of artificial neural networks (ANNs), primarily designed to extract features from grid-like matrix datasets. This is particularly …
An Introduction to Convolutional Neural Networks (CNNs)
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 …
Convolutional Neural Network (CNN): A Complete Guide
Jan 18, 2023 · 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 …
What are convolutional neural networks? - IBM
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 …
Convolutional Neural Network Explained - phoenixNAP
Apr 16, 2025 · A Convolutional Neural Network (CNN) is an artificial neural network that processes grid-like data, such as 2D images or 3D video frames. They are a subclass of feedforward neural …