initializer.py

X = np.random.rand(3,3)
print('Input X  = \n',X)

w = np.random.normal(loc=0.0, scale=0.01, size=(3,1))
print('\nInitialized weight w = \n',w)

bias = np.ones((3,1))
print('\nInitialized bias b = \n',bias)

z = np.dot(X, w) + bias z
print(z)