l_rate = 0.01
m_rate = 0.005
printcount = 100
name_f = 'cos1'
# ------------------------------------------------- создаем обучающий датасет
pat = []
for i in xrange(-180, 180, 1):
pat.append([dict(input_0=i / 10.0), dict(output_0=math.cos(i / 10.0))])
simple_net = Net()
simple_net.define(connectiontype='fullconnect',
inputs=1,
hiddenlayers=layers,
neurons=neurons,
outputs=1)
prog_start_time = datetime.datetime.now()
simple_net.train_pattern(pattern=pat,
max_iterations=epoch,
print_error_times=printcount,
n_speed=l_rate,
m_speed=m_rate)
print('Время выполнения: {}'.format(datetime.datetime.now() - prog_start_time))
import pickle
