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#运行这个文件import IdenNum,mnist_loadernet = IdenNum.Network([784, 30, 10])training_data, validation_data, test_data = mnist_loader.load_data_wrapper()net.SGD(training_data, 30, 10, 3.0, test_data=test_dat

"""mnist_loader~~~~~~~~~~~~A library to load the MNIST image data. For details of the datastructures that are returned, see the doc strings for ``load_data``and ``load_data_wrapper``. In practice, ``l

import random# Third-party librariesimport numpy as npclass Network(object): def __init__(self, sizes): self.num_layers = len(sizes) self.sizes = sizes self.biases = [np.random.randn(y, 1) for y in si