Training and Resuming

Training and Resume

In caffe, during training files defining the state of the network will be output: .caffemodel and .solverstate. These two files define the current state of the network at a given iteration, and with this information we are able to continue training our network in the case of a hiccup, pause for diagnosis, or a system crash.

Training

To begin training, we simply need to call the caffe binary and supply a solver: caffe train -solver solver.prototxt

Stopping

Number of Iterations Limit

Manually Stopping

Resuming