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Figure 2
A schematic visualization of the deep neural network for single-particle-imaging inversion used by Wu et al. (2021BB13). The neural network is implemented using an architecture composed entirely of convolutional, maximum pooling and upsampling layers. In the network, Conv. refers to convolution, LRLU refers to the leaky rectified linear unit and BN refers to batch normalization.

IUCrJ
Volume 8| Part 1| January 2021| Pages 1-3
ISSN: 2052-2525
https://doi.org/10.1107/S2052252520016590