Weight initialization based-rectified linear unit activation function to improve the performance of a convolutional neural network model

Bekhzod Olimov, Karshiev Sanjar, Eungyeong Jang, Sadia Din, Anand Paul 0001, Jeonghong Kim. Weight initialization based-rectified linear unit activation function to improve the performance of a convolutional neural network model. Concurrency - Practice and Experience, 33(22), 2021. [doi]

@article{OlimovSJDPK21,
  title = {Weight initialization based-rectified linear unit activation function to improve the performance of a convolutional neural network model},
  author = {Bekhzod Olimov and Karshiev Sanjar and Eungyeong Jang and Sadia Din and Anand Paul 0001 and Jeonghong Kim},
  year = {2021},
  doi = {10.1002/cpe.6143},
  url = {https://doi.org/10.1002/cpe.6143},
  researchr = {https://researchr.org/publication/OlimovSJDPK21},
  cites = {0},
  citedby = {0},
  journal = {Concurrency - Practice and Experience},
  volume = {33},
  number = {22},
}