lenet_solver.prototxt

# The train/test net protocol buffer definition
#训练/测试网络（ProtoBuffer定义） net: "examples/mnist/lenet_train_test.prototxt"
# test_iter specifies how many forward passes the test should carry out.
#test_iter 迭代多少次可以覆盖test集
# In the case of MNIST, we have test batch size 100 and 100 test iterations,
# covering the full 10,000 testing images. test_iter: 100
# Carry out testing every 500 training iterations. test_interval: 500
# The base learning rate, momentum and the weight decay of the network. base_lr: 0.01 momentum: 0.9 weight_decay: 0.0005
# The learning rate policy lr_policy: "inv" gamma: 0.0001 power: 0.75
# Display every 100 iterations display: 100
# The maximum number of iterations max_iter: 10000
# snapshot intermediate results snapshot: 5000 snapshot_prefix: "examples/mnist/lenet"
# solver mode: CPU or GPU solver_mode: CPU
这里边的参数的实际含义还不能搞清楚？？