「ゼロから作るDeep Learning」自習メモ（その１４） Google Colaboratoryで４章のプログラムを動かして見る - Qiita

import sys, os sys.path.append(os.pardir) from functions import * from gradient import numerical_gradient import numpy as np class TwoLayerNet: def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01): # 重みの初期化 self.params = {} self.params['W1'] = weight_init_std * np.random.randn(input_size, hidden_size) self.params['b1'] = np.zeros(hidden_size) self.params['W2'] = weight_in