svpino

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def neural_network(X, y):
    learning_rate = 0.1
    W1 = np.random.rand(2, 4)
    W2 = np.random.rand(4, 1)

arq5x

# compile
$ g++ zlib-example.cpp -lz -o zlib-example

# run
$ ./zlib-example
Uncompressed size is: 36
Uncompressed string is: Hello Hello Hello Hello Hello Hello!

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