import numpy as np
from Perceptron1 import Perceptron
training_inputs = []
training_inputs.append(np.array([1,1]))
training_inputs.append(np.array([1,0]))
training_inputs.append(np.array([0,1]))
training_inputs.append(np.array([0,0]))
labels = np.array([1,0,0,0])
Perceptron1 = Perceptron(2)
Perceptron1.train(training_inputs,labels)
inputs = np.array([1,1])
print(Perceptron1.predict(inputs))
inputs = np.array([0,1])
print(Perceptron1.predict(inputs))
print("final weights --> " + Perceptron1.weights)
'''
1) for learning rate 0.01 and thresold =5
--------------------
Epoch number :0
weights ---> [0. 0. 0.]
--------------------
Epoch number :1
import numpy as np
from Perceptron1 import Perceptron
trainin_inputs = []
trainin_inputs.append(np.array([1,1,1]))
trainin_inputs.append(np.array([0,1,0]))
trainin_inputs.append(np.array([1,0,1]))
trainin_inputs.append(np.array([0,0,0]))
trainin_inputs.append(np.array([0,0,1]))
trainin_inputs.append(np.array([0,1,1]))
labels = np.array([1,0,0,0,0,0])
perceptron = Perceptron(3)
perceptron.train(trainin_inputs,labels)
inputs = np.array([1,1,0])
print(" [1,1,0] ",perceptron.predict(inputs))
inputs = np.array([1,0,0])
print(" [1,0,0] ",perceptron.predict(inputs))
import numpy as np
from Perceptron1 import Perceptron
trainin_inputs = []
trainin_inputs.append(np.array([1, 1]))
trainin_inputs.append(np.array([0, 1]))
trainin_inputs.append(np.array([1, 0]))
trainin_inputs.append(np.array([0, 0]))
labels = np.array([0, 1, 1, 0])
perceptron = Perceptron(2)
perceptron.train(trainin_inputs, labels)
inputs = np.array([1, 0])
print(" [1,0] ", perceptron.predict(inputs))
inputs = np.array([0, 0])
print(" [0,0] ", perceptron.predict(inputs))
inputs = np.array([0, 1])
print(" [0,1] ", perceptron.predict(inputs))
inputs = np.array([1, 1])
print(" [1,1] ", perceptron.predict(inputs))