我先在https://github.com/mnielsen/neural-networks-and-deep-learning上面下载了Michael Nielsen大神的mnist测试集数据和代码的压缩包,解压,然后在cmd里进入虚拟环境py27里,然后import mnist_loader,结果提示我找不到包。 我去下载下来的压缩包解压后的文件夹里去看了看,发现mnist_loader是一个py文件(mnist_loader....
mnist_loader ~~~ A library to load the MNIST image data. For details of the data structures that are returned, see the doc strings for ``load_data`` and ``load_data_wrapper``. In practice, ``load_data_wrapper`` is the function usually called by our neural network code. """ ##...
下载MNIST数据集 要使用PyTorch下载MNIST数据集,我们可以直接使用torchvision.datasets模块中的MNIST类。这个类会自动下载MNIST数据集并将其存储在指定的目录中。下面是代码示例: importtorchvision.transformsastransformsfromtorchvision.datasetsimportMNIST# 定义数据变换transform=transforms.Compose([transforms.ToTensor(),transfo...
Due to a possible bug oftorchvision.datasets.MNIST, the first time this downloads its data the followingUserWarningis raised:The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This happens only on python 3.6+ latest, which means is a problem oftorchvisi...
defmain():# Load the datafull_td, _, _ = mnist_loader.load_data_wrapper() td = full_td[:1000]# Just use the first 1000 items of training dataepochs =500# Number of epochs to train forprint"\nTwo hidden layers:"net = network2.Network([784,30,30,10]) ...
在下文中一共展示了mnist_loader.load_data_wrapper方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: run_network ▲点赞 3▼ # 需要导入模块: import mnist_loader [as 别名]# 或者: from mnist_loader impo...
master data fig src conv.py expand_mnist.py mnist_average_darkness.py mnist_loader.py mnist_svm.py network.py network2.py network3.py .gitignore README.md requirements.txt Breadcrumbs neural-networks-and-deep-learning /src / File metadata and controls ...