PT21-22-Reseau-Neurones/testLearning.py
2021-12-22 21:35:06 +01:00

48 lines
985 B
Python

import numpy as np
import random
from sobek.network import network
random.seed()
myNetwork = network(10, 10)
learningRate = 3
for j in range(1000):
rand = []
inputs = []
desiredOutputs = []
if (j%50 == 0):
print(j)
for i in range(10):
rand.append( random.randrange(10)/10)
for i in range(10):
desiredOutputs.append(np.zeros(10))
desiredOutputs[i][9 - int(rand[i]*10)] = 1.0
for i in range(10):
inputs.append(np.zeros(10))
inputs[i][int(rand[i]*10)] = 1.0
myNetwork.train(inputs, desiredOutputs, learningRate)
test = []
test.append(np.zeros(10))
test.append(np.zeros(10))
test[0][1] = 1.0
test[1][5] = 1.0
print(test[0])
print(myNetwork.process(test[0]))
print(test[1])
print(myNetwork.process(test[1]))
print("Save and load test :")
myNetwork.saveToFile("test")
myNetwork2 = network.networkFromFile("test")
print(myNetwork.process(test[0]).all() == myNetwork2.process(test[0]).all())