卷积神经网络
计算机科学
深度学习
网格
人工智能
卷积(计算机科学)
人气
图层(电子)
细胞神经网络
人工神经网络
模式识别(心理学)
数学
社会心理学
化学
几何学
有机化学
心理学
作者
Nikhil Ketkar,Jojo Moolayil
出处
期刊:Apress eBooks
[Apress]
日期:2021-01-01
卷期号:: 197-242
被引量:18
标识
DOI:10.1007/978-1-4842-5364-9_6
摘要
A convolutional neural network (CNN) is essentially a neural network that employs the convolution operation (instead of a fully connected layer) as one of its layers. CNNs are an incredibly successful technology that has been applied to problems where in the input data on which predictions are to be made has a known grid-like topology, like a time series (a 1-D grid) or an image (a 2-D grid). CNNs ushered deep learning into modern times, solving one of the most crucial computational problems in the digital era of computer vision. With the popularity of CNNs, a surge in the research for deep learning was witnessed that continues today.
科研通智能强力驱动
Strongly Powered by AbleSci AI