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Title: mnist Download
  • Category:
  • AI-NN-PR
  • Tags:
  • [MacOS]
  • File Size:
  • 36.27mb
  • Update:
  • 2018-04-27
  • Downloads:
  • 0 Times
  • Uploaded by:
  • hhhwl
 Description: Using the fully connected network and convolution neural network, recurrent neural network builds different classifiers respectively, and how to save them through the preservation principle of the model.
 Downloaders recently: [More information of uploader hhhwl]
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File list (Check if you may need any files):
FilenameSizeDate
mnist 0 2018-04-22
mnist\.DS_Store 8196 2018-04-15
__MACOSX 0 2018-04-27
__MACOSX\mnist 0 2018-04-27
__MACOSX\mnist\._.DS_Store 120 2018-04-15
mnist\302_simple_classification.py 2164 2018-02-12
__MACOSX\mnist\._302_simple_classification.py 212 2018-02-12
mnist\401_CNN.py 3737 2018-02-12
__MACOSX\mnist\._401_CNN.py 212 2018-02-12
mnist\eval.py 2289 2018-04-15
mnist\mnist 0 2018-04-22
mnist\mnist\t10k-images-idx3-ubyte.gz 1648877 2018-04-22
mnist\mnist\t10k-labels-idx1-ubyte.gz 4542 2018-04-22
mnist\mnist\train-images-idx3-ubyte.gz 9912422 2018-04-22
mnist\mnist\train-labels-idx1-ubyte.gz 28881 2018-04-22
mnist\MNIST_data 0 2018-04-07
mnist\MNIST_data\t10k-images-idx3-ubyte.gz 1648877 2018-04-07
mnist\MNIST_data\t10k-labels-idx1-ubyte.gz 4542 2018-04-07
mnist\MNIST_data\train-images-idx3-ubyte.gz 9912422 2018-04-07
mnist\MNIST_data\train-labels-idx1-ubyte.gz 28881 2018-04-07
mnist\mnist_eval.py 1658 2018-04-09
mnist\mnist_inference.py 949 2017-03-04
__MACOSX\mnist\._mnist_inference.py 222 2017-03-04
mnist\mnist_inference.pyc 1285 2018-04-07
mnist\MNIST_model 0 2018-04-15
mnist\MNIST_model\checkpoint 277 2018-04-15
mnist\MNIST_model\model.ckpt-25001.data-00000-of-00001 3180084 2018-04-15
mnist\MNIST_model\model.ckpt-25001.index 470 2018-04-15
mnist\MNIST_model\model.ckpt-25001.meta 65160 2018-04-15
mnist\MNIST_model\model.ckpt-26001.data-00000-of-00001 3180084 2018-04-15
mnist\MNIST_model\model.ckpt-26001.index 470 2018-04-15
mnist\MNIST_model\model.ckpt-26001.meta 65160 2018-04-15
mnist\MNIST_model\model.ckpt-27001.data-00000-of-00001 3180084 2018-04-15
mnist\MNIST_model\model.ckpt-27001.index 470 2018-04-15
mnist\MNIST_model\model.ckpt-27001.meta 65160 2018-04-15
mnist\MNIST_model\model.ckpt-28001.data-00000-of-00001 3180084 2018-04-15
mnist\MNIST_model\model.ckpt-28001.index 470 2018-04-15
mnist\MNIST_model\model.ckpt-28001.meta 65160 2018-04-15
mnist\MNIST_model\model.ckpt-29001.data-00000-of-00001 3180084 2018-04-15
mnist\MNIST_model\model.ckpt-29001.index 470 2018-04-15
mnist\MNIST_model\model.ckpt-29001.meta 65160 2018-04-15
mnist\mnist_train.py 2351 2018-04-08
__MACOSX\mnist\._mnist_train.py 222 2018-04-08
mnist\mnist_train.pyc 2792 2018-04-08

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