Patent ID: 11908240
Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method according to claim 7, wherein a batch normalization algorithm is used during training of the spatiotemporal feature neural network; in the batch normalization algorithm, approximate whitening is performed by using a formula,, x
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where x(k) is an input of a certain neuron in a neural network layer, x(k)=Wh+b, W being a weight of the neural network layer, h being an output of the upper layer of the neural network layer, b being an uncertainty constant; E[x(k)] is a mean value of all input data in a batch of neurons of the neural network layer under the Stochastic Gradient Descent method; and √{square root over (Var[x(k)])} is a standard deviation of all input data in a batch of said neuron.