pip install -r requirements.txt

DATA:
  NAME: mnist           # Now: mnist or fashion
  CLASS: 10             # number of class of mnist
  DATA_NUM: 100
  SPLIT_RATIO: 0.2

MODEL:
  INPUT_FEATURES: 784   # mnist: 28x28=784
  MID_FEATURES: 1024
  B_SIGMA: 0.1

INITIALIZER:
  TYPE: gaussian        # vanilla, gaussian, withmp, mexican, matern
  R_SIGMA: 0.1          # for receptive field
  S_SIGMA: 0.1          # for correlation
  M_SIGMA: 0.1          # for mexican hat
  NU: 0.5               # for matern kernel

GENERAL:
  EPOCH: 1000           
  GPUS: [1]
  NOTEBOOK: true        # if you use script, switch false

@article{watanabe2022deep,
  title={Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel},
  author={Watanabe, Kaito and Sakamoto, Kotaro and Karakida, Ryo and Sonoda, Sho and Amari, Shun-ichi},
  journal={arXiv preprint arXiv:2202.05254},
  year={2022}
}