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removed sigmoid from neuron plot

main
romanamo 2024-04-05 23:56:40 +02:00
parent e5b825b10d
commit a96c60c72b
1 changed files with 6 additions and 6 deletions
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12
uebungen/uebung1.py
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@ -15,16 +15,16 @@ grad = np.zeros(3)
def sigmoid(summe): # Transferfunktion def sigmoid(summe): # Transferfunktion
return 1.0/(1.0+np.exp(-1.0*summe)) return 1.0/(1.0+np.exp(-1.0*summe))
def learn():
#TODO implement here
global train, weight, out, target, learnrate
# Neuronenausgabe für alle 4 Trainingsmuster berechnen
def perceptron(output): def perceptron(output):
return max(np.sign(output), 0) return max(np.sign(output), 0)
vperceptron = np.vectorize(perceptron) vperceptron = np.vectorize(perceptron)
def learn():
#TODO implement here
global train, weight, out, target, learnrate
# Neuronenausgabe für alle 4 Trainingsmuster berechnen
out = vperceptron(np.matmul(train, weight)) out = vperceptron(np.matmul(train, weight))
for j in range(4): for j in range(4):
@ -40,7 +40,7 @@ def outp(N=100): # Daten für die Ausgabefunktion generieren
x = np.linspace(0, 1, N) x = np.linspace(0, 1, N)
y = np.linspace(0, 1, N) y = np.linspace(0, 1, N)
xx, yy = np.meshgrid(x, y) xx, yy = np.meshgrid(x, y)
oo = sigmoid(weight[0] + weight[1]*xx + weight[2]*yy) oo = vperceptron(weight[0] + weight[1]*xx + weight[2]*yy)
return xx, yy, oo return xx, yy, oo
def on_close(event): # Fenster schließen def on_close(event): # Fenster schließen