Neural Netwok
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import numpy as np
""" lets say:
Your inputs: x1 =2 (math score), x2 = 3 (science score)
Weights: w1 = 0.5, w2 = 0.1 (how important each subject is)
Bias: b = 1
"""
# activation function
def sigmoid(z):
return 1 / (1 + np.exp(-z))
# input
X = np.array([2, 3])
# wieghts
w = np.array([0.5, 0.1])
#bias
b = 1
# input(wieghts) product + bias
z = np.dot(X, w) + b
y = sigmoid(z)
print(y)
Python
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