Translations:Convolutional Neural Networks/1/zh: Difference between revisions

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Message definition (Convolutional Neural Networks)

'''Convolutional neural networks''' ('''CNNs''' or '''ConvNets''') are a class of deep [[Neural Networks|neural networks]] specifically designed to process data with a grid-like topology, such as images (2D grids of pixels), audio spectrograms, and video. They exploit the spatial structure of the input through local connectivity, weight sharing, and {{Term|pooling}}, making them far more efficient than fully connected networks for visual and spatial tasks.

卷积神经网络（CNN 或 ConvNets）是一类专门设计用于处理具有网格状拓扑结构数据的深度神经网络，例如图像（二维像素网格）、音频频谱图和视频。它们通过局部连接、权重共享和池化来利用输入的空间结构，使其在视觉和空间任务上远比全连接网络高效。

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	'''卷积神经网络'''（'''CNN''' 或 '''ConvNets'''~~）是一类深度~~[[Neural Networks\|神经网络]]，专门用于处理具有网格状拓扑结构的数据，例如图像（二维像素网格）、音频频谱图和视频。它们通过局部连接、权重共享和池化来利用输入的空间结构，使其在视觉和空间任务上远比全连接网络高效。		'''卷积神经网络'''（'''CNN''' 或 '''ConvNets'''）是一类专门设计用于处理具有网格状拓扑结构数据的深度[[Neural Networks\|神经网络]]，例如图像（二维像素网格）、音频频谱图和视频。它们通过局部连接、权重共享和{{Term\|pooling\|池化}}来利用输入的空间结构，使其在视觉和空间任务上远比全连接网络高效。