基于python 的mobienetv2模型，minist数据集

[{"title":"（ 28 个子文件 11.1MB ） 基于python 的mobienetv2模型，minist数据集","children":[{"title":"mobilenetv2","children":[{"title":"cnn_train_interface.py <span style='color:#111;'> 7.38KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"mobilenetv2.py <span style='color:#111;'> 17.19KB </span>","children":null,"spread":false},{"title":"optimizer_interface.py <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"regulation_interface.py <span style='color:#111;'> 707B </span>","children":null,"spread":false},{"title":"activation_interface.py <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"mobilenetv2_test.py <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"cnn_block_interface.py <span style='color:#111;'> 15.30KB </span>","children":null,"spread":false},{"title":"MNIST_interface.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"mobilenetv2.cpython-36.pyc <span style='color:#111;'> 10.06KB </span>","children":null,"spread":false},{"title":"results","children":null,"spread":false},{"title":"optimizer_interface.cpython-36.pyc <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"activation_interface.cpython-36.pyc <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"cnn_layer_interface.cpython-36.pyc <span style='color:#111;'> 8.65KB </span>","children":null,"spread":false},{"title":"MNIST_interface.cpython-36.pyc <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false},{"title":"read_mnist.cpython-36.pyc <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"regulation_interface.cpython-36.pyc <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"cnn_train_interface.cpython-36.pyc <span style='color:#111;'> 5.17KB </span>","children":null,"spread":false},{"title":"vgg_net.cpython-36.pyc <span style='color:#111;'> 8.81KB </span>","children":null,"spread":false},{"title":"cnn_block_interface.cpython-36.pyc <span style='color:#111;'> 10.45KB </span>","children":null,"spread":false}],"spread":false},{"title":".spyproject","children":[{"title":"encoding.ini <span style='color:#111;'> 58B </span>","children":null,"spread":false},{"title":"codestyle.ini <span style='color:#111;'> 56B </span>","children":null,"spread":false},{"title":"vcs.ini <span style='color:#111;'> 85B </span>","children":null,"spread":false},{"title":"workspace.ini <span style='color:#111;'> 398B </span>","children":null,"spread":false}],"spread":true},{"title":"MNIST","children":[{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false}],"spread":true},{"title":"mobilenetv2_grad_check.py <span style='color:#111;'> 6.10KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]