Randomized the input to random.seed()

multi_layer_network.py

@@ -1,10 +1,11 @@
 import numpy as np
 import os
+import random
 os.system('wget https://codefinity-content-media.s3.eu-west-1.amazonaws.com/f9fc718f-c98b-470d-ba78-d84ef16ba45f/section_2/layers.py 2>/dev/null')
 from layers import hidden_1, hidden_2, output_layer
 
 # Fix the seed of the "random" library, so it will be easier to test our code 
-np.random.seed(10)
+np.random.seed(random.randint(1,10))
 
 class Perceptron:
     def __init__(self, layers):