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Jonas Braus
2026-03-04 23:49:45 +01:00
parent d95ba0a638
commit 2410493a89
3 changed files with 51 additions and 42 deletions
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data.train
+37 -36
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@@ -1,38 +1,39 @@
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]
main.py
+12 -5
View File
@@ -3,7 +3,7 @@ from network import Network
from trainer import Trainer
network = Network()
network.build_layers(3, 36, 3, 12)
network.build_layers(3, 37, 4, 12)
network.connect_layers()
trainer = Trainer(network, "./data.train")
@@ -13,16 +13,23 @@ print("Erkenne die Art eines zeichens (Konsontant, Vokal oder Zahl).")
while True:
inpt = input("Dein Zeichen: ").lower()
vec = [0 for _ in range(0, 36)]
vec = [0 for _ in range(0, 37)]
refrence = string.ascii_lowercase + string.digits
vec[refrence.index(inpt)] = 1
try:
index = refrence.index(inpt)
except Exception:
index = 36
vec[index] = 1
output = network.fire(vec)
print(f"Konsontant: {round(output[0], 2)} | Vokal: {round(output[1], 2)} | Zahl: {round(output[2], 2)}")
print(f"Konsontant: {round(output[0], 2)} | Vokal: {round(output[1], 2)} | Zahl: {round(output[2], 2)} | Unbekannt: {round(output[3], 2)}")
if max(output) == output[0]:
print("AI Denkt: Konsontant")
elif max(output) == output[1]:
print("AI Denkt: Vokal")
else:
elif max(output) == output[2]:
print("AI Denkt: Zahl")
else:
print("AI Denkt: Unbekannt")
trainer.py
+2 -1
View File
@@ -19,7 +19,8 @@ class Trainer:
def train(self, iters):
for i in range(0, iters):
print(f"Train {(i / iters) * 100}%")
if i % 100 == 0:
print(f"Train {round((i / iters) * 100)}%")
sample = random.choice(self.data)
in_vec = sample[0]
check_vec = sample[1]