βPraktikum 3
Nilai Logika XOR dengan MLP
Deskripsi
Langkah 1 - Import Library
from sklearn.neural_network import MLPClassifierLangah 2 - Buat Data
y = [0, 1, 1, 0] # label
X = [[0, 0], [0, 1], [1, 0], [1, 1]] # dataLangkah 3 - Fit Model
# Fit model
clf = MLPClassifier(solver='lbfgs', activation='logistic', hidden_layer_sizes=(2,), max_iter=100, random_state=20)
clf.fit(X, y)Langkah 4 - Prediksi
pred = clf.predict(X)
print('Accuracy: %s' % clf.score(X, y))
for i,p in enumerate(pred[:10]):
print('True: %s, Predicted: %s' % (y[i], p))Last updated
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