# reduce learning rate by factor of 10
$TOOLS/caffe train \
--solver=examples/cifar10/cifar10_full_solver_lr1.prototxt \
- --snapshot=examples/cifar10/cifar10_full_iter_60000.solverstate
+ --snapshot=examples/cifar10/cifar10_full_iter_60000.solverstate.h5
# reduce learning rate by factor of 10
$TOOLS/caffe train \
--solver=examples/cifar10/cifar10_full_solver_lr2.prototxt \
- --snapshot=examples/cifar10/cifar10_full_iter_65000.solverstate
+ --snapshot=examples/cifar10/cifar10_full_iter_65000.solverstate.h5
# reduce learning rate by factor of 10 after 8 epochs
$TOOLS/caffe train \
--solver=examples/cifar10/cifar10_quick_solver_lr1.prototxt \
- --snapshot=examples/cifar10/cifar10_quick_iter_4000.solverstate
+ --snapshot=examples/cifar10/cifar10_quick_iter_4000.solverstate.h5
./build/tools/caffe train \
--solver=models/bvlc_reference_caffenet/solver.prototxt \
- --snapshot=models/bvlc_reference_caffenet/caffenet_train_10000.solverstate
+ --snapshot=models/bvlc_reference_caffenet/caffenet_train_10000.solverstate.h5