code from the python notebook for training george_net

training_george_net.py

from cs231n.classifiers.convnet import *

#lr = 10 ** -3.45855
lr = 10 ** -3.2
reg = 10 ** -4.92902  
weight_scale = 10 ** -1.62151


model = GeorgeNet(num_convnets=3, num_affine=3,
                  hidden_dim=500, # default: 500
                  weight_scale=weight_scale,
                  num_filters=64,
                  use_batchnorm=True,
                  reg=reg)


solver = Solver(model, data,
                num_epochs=10, batch_size=50,
                update_rule='adam',
                optim_config={
                  'learning_rate': lr,
                  'lr_decay': 0.95,
                },
                verbose=True, print_every=20)
solver.train()