Code of the project "On the New method of Hessian-free second-order optimization".
Made initially as a project for Skoltech course "Numerical Linear Algebra 2019"
from befree.examples.utils import fit_model
from befree.examples.print_stats import print_stats
%matplotlib inline
configs = ['befree/config/saved_configs/mnist_mlp_adam.yaml',
'befree/config/saved_configs/mnist_mlp_sgd.yaml',
'befree/config/saved_configs/mnist_mlp_lbfgs.yaml']
stats = dict([fit_model(config) for config in configs])
print_stats(stats)See our technical report here.