A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization.

A convolutional neural network (CNN) is a category of machine learning model, namely a type of deep learning algorithm well suited to analyzing visual data.

Convolutional neural networks use three-dimensional data to for image classification and object recognition tasks.

A convolutional neural network (CNN or ConvNet) is a network architecture for deep learning that learns directly from data.

13 мар. 2024 г. · A Convolutional Neural Network (CNN) is a type of deep learning algorithm that is particularly well-suited for image recognition and processing ...

A convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing, due to its ability to ...

A convolutional neural network is a type of deep learning algorithm that is most often applied to analyze and learn visual features from large amounts of data.

A convolutional neural network (CNN) is a type of deep learning network that uses convolutional layers to extract features from images and other grid-like data.

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14 нояб. 2023 г. · A Convolutional Neural Network (CNN), also known as ConvNet, is a specialized type of deep learning algorithm mainly designed for tasks that necessitate object ...