Patent ID: 11908483
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 5:
6. The method according to claim 2, wherein for each two-dimensional convolutional layer, the n two-dimensional convolution kernels of the same size are initialized in a training phase of the end-to-end neural network according to the following solution:
letting wn′,l′,0N(μ, σ2), wn′,l′,1=−λl′wn′,l′,h′=0n′=1, 2, . . . , n, l′=0, 1, . . . , l−1, h′=2, 3, . . . , h−1, N(μ, σ2) being a Gaussian distribution with a mean being μ and a variance being σ2, λl′ being a learnable network parameter and varying with l′,
h being a height of each two-dimensional convolution kernel in the two-dimensional convolutional layer, l being a length of each two-dimensional convolution kernel in the two-dimensional convolutional layer, wn′,l′,h′ representing a value of an (n′)th two-dimensional convolution kernel at a position (l′, h′).