In [1]:
import numpy as np
def sigmoid(x):
# Implement sigmoid function
return 1/(1 + np.exp(-x))
inputs = np.array([0.7, -0.3])
weights = np.array([0.1, 0.8])
bias = -0.1
# Calculate the output
output = sigmoid( np.dot(inputs,weights) + bias )
print('Output: ')
print(output)