1.numpy.ndarray.item() :
A copy of the specified element of the array as a suitable Python scalar
区分dict.items() : Python字典items()方法以列表返回可遍历的(键, 值)元组数组
2.np.load() :
Load arrays or pickled objects from .npy, .npz or pickled files.
迁移学习中加载训练好的模型使用加载的是.npy格式模型时候返回< class ‘numpy.ndarray>即array对象
if the file contains pickle data, then whatever object is stored in the pickle is returned.
If the file is a .npy file, then a single array is returned.
If the file is a .npz file, then a dictionary-like object is returned, containing {filename: array} key-value pairs, one for each file in the archive.
If the file is a .npz file, the returned value supports the context manager protocol in a similar fashion to the open function:
with load('foo.npz') as data:a = data['a']
3.np.random.shuffle(np.ndarray)
将ndarray对象按行随机打乱