In [5]:

    

import numpy as np


    

In [16]:

    

class Layer():

    # m: ニューロンの数
    # n: 入力の数
    def __init__(self, m, n):
        self._output = None
        self._w = np.random.rand(m, n)

    # input: 入力の値: 行列: np.array
    def output(self, inputs):
        s = self._w.dot(inputs)
        return self._activation(s)

    # n: ニューロンの数
    # s: 出力
    def _activation(self, s):
        self._output = 1 / (1 + np.exp(-1 * s))
        return self._output
    
if __name__ == '__main__':
    # layer1
    l1 = Layer(4, 3)
    input1 = np.array([[1.], [2.], [4.]])
    output1 = l1.output(input1)
    print(output1)

    # layer2
    l2 = Layer(1, 4)
    output2 = l2.output(output1)
    print(output2)


    

    




[[ 0.97415073]
 [ 0.77947797]
 [ 0.84223343]
 [ 0.90549767]]
[[ 0.93139542]]

In [ ]: