text: # reduce learning rate after 120 epochs (60000 iters) by factor 0f 10
  # then another factor of 10 after 10 more epochs (5000 iters)
  
  # The train/test net protocol buffer definition
  net: "examples/cifar10/cifar10_full_sigmoid_train_test_bn.prototxt"
  # test_iter specifies how many forward passes the test should carry out.
  # In the case of CIFAR10, we have test batch size 100 and 100 test iterations,
  # covering the full 10,000 testing images.
  test_iter: 10
  # Carry out testing every 1000 training iterations.
  test_interval: 1000
  # The base learning rate, momentum and the weight decay of the network.
  base_lr: 0.001
  momentum: 0.9
  #weight_decay: 0.004
  # The learning rate policy
  lr_policy: "step"
  gamma: 1
  stepsize: 5000
  # Display every 200 iterations
  display: 100
  # The maximum number of iterations
  max_iter: 60000
  # snapshot intermediate results
  snapshot: 10000
  snapshot_prefix: "examples/cifar10_full_sigmoid_bn"
  # solver mode: CPU or GPU
  solver_mode: GPU
  