Also known as: CNN
Сверточная нейронная сеть, или CNN, — это архитектура нейронной сети, использующая сверточные слои для изучения пространственных или локальных patterns в данных. CNN особенно распространены в анализе изображений и видео, но также могут применяться к другим structured inputs, таким как audio или sequences.
In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural network most commonly applied to image analysis. CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics.
A neural network in which at least one layer is a convolutional layer. A typical convolutional neural network consists of some combination of the following layers: - convolutional layers - pooling layers - dense layers Convolutional neural networks have had great success in certain kinds of problems, such as image recognition.