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文件名称:半监督学习

修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : SSGAN-Tensorflow-master.zip 列表
SSGAN-Tensorflow-master/
SSGAN-Tensorflow-master/.gitignore
SSGAN-Tensorflow-master/LICENSE
SSGAN-Tensorflow-master/README.md
SSGAN-Tensorflow-master/config.py
SSGAN-Tensorflow-master/datasets/
SSGAN-Tensorflow-master/datasets/__init__.py
SSGAN-Tensorflow-master/datasets/hdf5_loader.py
SSGAN-Tensorflow-master/discriminator.py
SSGAN-Tensorflow-master/download.py
SSGAN-Tensorflow-master/evaler.py
SSGAN-Tensorflow-master/figure/
SSGAN-Tensorflow-master/figure/example.png
SSGAN-Tensorflow-master/figure/gan_loss.png
SSGAN-Tensorflow-master/figure/result/
SSGAN-Tensorflow-master/figure/result/cifar10/
SSGAN-Tensorflow-master/figure/result/cifar10/accuracy.png
SSGAN-Tensorflow-master/figure/result/cifar10/d_loss.png
SSGAN-Tensorflow-master/figure/result/cifar10/d_loss_fake.png
SSGAN-Tensorflow-master/figure/result/cifar10/d_loss_real.png
SSGAN-Tensorflow-master/figure/result/cifar10/g_loss.png
SSGAN-Tensorflow-master/figure/result/cifar10/s_loss.png
SSGAN-Tensorflow-master/figure/result/cifar10/samples.png
SSGAN-Tensorflow-master/figure/result/cifar10/training.gif
SSGAN-Tensorflow-master/figure/result/mnist/
SSGAN-Tensorflow-master/figure/result/mnist/accuracy.png
SSGAN-Tensorflow-master/figure/result/mnist/d_loss.png
SSGAN-Tensorflow-master/figure/result/mnist/d_loss_fake.png
SSGAN-Tensorflow-master/figure/result/mnist/d_loss_real.png
SSGAN-Tensorflow-master/figure/result/mnist/g_loss.png
SSGAN-Tensorflow-master/figure/result/mnist/s_loss.png
SSGAN-Tensorflow-master/figure/result/mnist/samples.png
SSGAN-Tensorflow-master/figure/result/mnist/training.gif
SSGAN-Tensorflow-master/figure/result/svhn/
SSGAN-Tensorflow-master/figure/result/svhn/accuracy.png
SSGAN-Tensorflow-master/figure/result/svhn/d_loss.png
SSGAN-Tensorflow-master/figure/result/svhn/d_loss_fake.png
SSGAN-Tensorflow-master/figure/result/svhn/d_loss_real.png
SSGAN-Tensorflow-master/figure/result/svhn/g_loss.png
SSGAN-Tensorflow-master/figure/result/svhn/s_loss.png
SSGAN-Tensorflow-master/figure/result/svhn/samples.png
SSGAN-Tensorflow-master/figure/result/svhn/training.gif
SSGAN-Tensorflow-master/figure/s_loss.png
SSGAN-Tensorflow-master/figure/ssgan.png
SSGAN-Tensorflow-master/generator.py
SSGAN-Tensorflow-master/input_ops.py
SSGAN-Tensorflow-master/model.py
SSGAN-Tensorflow-master/ops.py
SSGAN-Tensorflow-master/trainer.py
SSGAN-Tensorflow-master/util.py
SSGAN-Tensorflow-master/visualize_training.py

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