Solver Prototxt

The solver.prototxt is a configuration file used to tell caffe how you want the network trained.

Parameters

base_lr

This parameter indicates the base (beginning) learning rate of the network. The value is a real number (floating point).

lr_policy

This parameter indicates how the learning rate should change over time.

Options include:

step - drop the learning rate in step sizes indicated by the gamma parameter.

gamma

This parameter indicates how much the learning rate should change every time we reach the next "step." The value is a real number, and can be though of as multiplying the current learning rate by said number to gain a new learning rate.

stepsize

This parameter indicates how often (at some iteration count) that we should move onto the next "step" of training. This value is a positive integer.

max_iter

This parameter indicates when the network should stop training. The value is an integer indicate which iteration should be the last.

momentum

This parameter indicates how much of the previous weight will be retained in the new calculation. This value is a real fraction.

solver_mode

This parameter indicates which mode will be used in solving the network.