Randomized the input to random.seed()
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import numpy as np
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import numpy as np
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import os
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import os
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import random
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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')
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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')
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from layers import hidden_1, hidden_2, output_layer
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from layers import hidden_1, hidden_2, output_layer
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# Fix the seed of the "random" library, so it will be easier to test our code
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# Fix the seed of the "random" library, so it will be easier to test our code
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np.random.seed(10)
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np.random.seed(random.randint(1,10))
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class Perceptron:
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class Perceptron:
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def __init__(self, layers):
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def __init__(self, layers):
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