Версия с NumPy
import numpy as np

# игр % побед болельщиков

ih_wgt = np.array([

[0.1, 0.2, -0.1], # hid[0]

[-0.1,0.1, 0.9], # hid[1]

[0.1, 0.4, 0.1]]).T # hid[2]

# hid[0] hid[1] hid[2]

hp_wgt = np.array([

[0.3, 1.1, -0.3], # травмы?

[0.1, 0.2, 0.0], # победа?

[0.0, 1.3, 0.1] ]).T # печаль?

weights = [ih_wgt, hp_wgt]

def neural_network(input, weights):

hid = input.dot(weights[0])

pred = hid.dot(weights[1])

return pred

toes = np.array([8.5, 9.5, 9.9, 9.0])

wlrec = np.array([0.65,0.8, 0.8, 0.9])

nfans = np.array([1.2, 1.3, 0.5, 1.0])

input = np.array([toes[0],wlrec[0],nfans[0]])

pred = neural_network(input,weights)

print(pred)

Короткий пр