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正确的思考方向是,理解人工智能是应用数学,是实验科学,允许各种人为简化,只要这些人为简化在实验中表现出有效性和高效性即可。本文所描述的卷积神经网络中,反向传播算法穿过无梯度的池化层,就是诸多人为简化的例子之一。
相关研究结果以“Development and validation of a deep learning model based on cascade mask regional convolutional neural network to ...
Scientists on Sunday said they have presented a novel channel-wise cumulative spike train image-driven model for hand gesture ...
For comparison, the paper pitted SIUN against a more traditional convolutional neural network (CNN) on the ball bearing ...
Discovery pulled the plug on the new venture shortly after taking over the network. The company did launch a CNN stream for ...
A research paper by scientists at Shanghai Jiao Tong University presented a novel channel-wise cumulative spike train image-driven model (cwCST-CNN ...