6_ConvAutoEncoder

Directory: AI-NN-PR
Plat: Python
Size: 12619KB
Downloads: 1
Upload time: 2018-12-02 18:23:06
Uploader: unicorn_plus
Description:   The first three convolution pooling layers are coded and the last three deconvolution layers are decoded. The Gauss white noise with noise coefficient of 0.5 can be removed.

File list:
6_ConvAutoEncoder, 0 , 2018-11-30
6_ConvAutoEncoder\6.py, 4245 , 2018-11-17
6_ConvAutoEncoder\MNIST_data, 0 , 2018-11-15
6_ConvAutoEncoder\MNIST_data\t10k-images-idx3-ubyte.gz, 1648877 , 2018-11-15
6_ConvAutoEncoder\MNIST_data\t10k-labels-idx1-ubyte.gz, 4542 , 2018-11-15
6_ConvAutoEncoder\MNIST_data\train-images-idx3-ubyte.gz, 9912422 , 2018-11-15
6_ConvAutoEncoder\MNIST_data\train-labels-idx1-ubyte.gz, 28881 , 2018-11-15
6_ConvAutoEncoder\__pycache__, 0 , 2018-11-17
6_ConvAutoEncoder\__pycache__\utils.cpython-36.pyc, 2219 , 2018-11-17
6_ConvAutoEncoder\checkpoint_dir, 0 , 2018-11-17
6_ConvAutoEncoder\checkpoint_dir\CAEmodel.data-00000-of-00001, 1453460 , 2018-11-17
6_ConvAutoEncoder\checkpoint_dir\CAEmodel.index, 1290 , 2018-11-17
6_ConvAutoEncoder\checkpoint_dir\CAEmodel.meta, 84899 , 2018-11-17
6_ConvAutoEncoder\checkpoint_dir\checkpoint, 73 , 2018-11-17
6_ConvAutoEncoder\logs, 0 , 2018-11-15
6_ConvAutoEncoder\logs\mnist_with_summaries, 0 , 2018-11-15
6_ConvAutoEncoder\logs\mnist_with_summaries\test, 0 , 2018-11-30
6_ConvAutoEncoder\pred, 0 , 2018-11-30
6_ConvAutoEncoder\utils.py, 1735 , 2018-11-17

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