深度学习入门那本书91页有这么一段话
输入一维数组咋就一定要reshape啊，而且还要求reshape成一维，这不是没变化吗？
t1=[1,2,6]
t1=np.array(t1)
print("t1数组是",end="")
print(t1)
print("t1数组的shape[0]是", end="")
print(t1.shape[0])
t1=t1.reshape(1,t1.size)
print("t1数组reshape为1维之后是",end="")
print(t1)
print("t1数组reshape为1维之后维度变成为",end="")
print(t1.ndim)
print("t1数组reshape为1维之后的shape[0]是", end="")
print(t1.shape[0])
print("t1数组reshape为1维之后t1[0][2]是",end="")
print(t1[0][2])
仔细看输出结果
根据上图结果可知 一维数组reshape过后会变成二维数组