{
  "batch_size": 100,
  "dataset_name": "emnist",
  "continue_from_epoch": -2,
  "seed": 0,
  "image_num_channels": 1,
  "image_height": 28,
  "image_width": 28,
  "dim_reduction_type": "avg_pooling",
  "num_layers": 4,
  "num_filters": 32,
  "num_epochs": 250,
  "experiment_name": "emnist_tutorial",
  "use_gpu": true,
  "weight_decay_coefficient": 1e-05
}