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experimental

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This commit is contained in:
Lukas Karras
2024-11-26 12:38:12 +01:00
parent c724954f78
commit 681b99f0d5
2 changed files with 16 additions and 7 deletions
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6
src/classes/neural/network.py
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@@ -37,8 +37,8 @@ class NeuralNetwork:
correct_amount = 0
false_amount = 0
for i in range(len(training_set)):
fv_to_train = training_set # random.choice(training_set)
for i in range(len(training_set)*100):
fv_to_train = training_set[i%len(training_set)] # random.choice(training_set)
classified_concept, correct = self.classify(fv_to_train)
if not correct:
@@ -47,7 +47,7 @@ class NeuralNetwork:
else:
correct_amount += 1
print(f"{i}: {(correct_amount/(correct_amount + false_amount)) * 100}%")
#print(f"{i}: {(correct_amount/(correct_amount + false_amount)) * 100}%")
pass
# for a sequence of 3 neurons interpretate their meaning