import numpy as np

# 2乗和誤差
def mean_squared_error(y, t):
  return 0.5 * np.sum((y-t)**2)

# こうさエントロピー誤差
def cross_entropy_error(y, t):
  delta = 1e-7
  return -np.sum(t * np.log(y + delta))

t = [0,0,1,0,0,0,0,0,0,0]
y = [0.1,0.05,0.6,0.0,0.05,0.1,0.0,0.1,0.0,0.0]
print(mean_squared_error(np.array(y), np.array(t)))
print(cross_entropy_error(np.array(y), np.array(t)))