读取方法过程
Method()
# 随机取batch_size个训练样本
import numpy as np
def next_batch(train_data, train_target, batch_size):
index = [ i for i in range(0,len(train_target)) ]
np.random.shuffle(index);
batch_data = [];
batch_target = [];
for i in range(0,batch_size):
batch_data.append(train_data[index[i]]);
batch_target.append(train_target[index[i]])
return batch_data, batch_target
解释: 使用改了numpy中的shuffle(index)函数’
numpy.random.shuffle(x)
Modify a sequence in-place by shuffling its contents.
This function only shuffles the array along the first axis of a multi-dimensional array. The order of sub-arrays is changed but their contents remains the same.
>>> arr = np.arange(10)
>>> np.random.shuffle(arr)
>>> arr
[1 7 5 2 9 4 3 6 0 8]