import numpy as np

INPUT_SIZE = 3
OUTPUT_SIZE = 3
    
W = np.random.randn(INPUT_SIZE, OUTPUT_SIZE)
b = np.random.randn(OUTPUT_SIZE,1)
        
def forward(x):
    return activation_function(np.dot(W,x)+b)
    
def activation_function(s):
    return np.maximum(0.0,s) #RELU

def backward():
    pass
