import numpy as np
from dataset.mnist import load_mnist

(x_train, t_train), (x_test, t_test) = load_mnist(normalize=True, one_hot_label=True)

print(x_train.shape) #(60000, 784) 28 x 28 데이터
print(t_train.shape) # (60000, 10) 정답 레이블은 10줄짜리 데이터

train_size = x_train.shape[0] # 60000
batch_size = 10
batch_mask = np.random.choice(train_size, batch_size)
x_batch = x_train[batch_mask]
t_batch = t_train[batch_mask]
