登录
首页 » Python » TensorFlow-Examples-master

TensorFlow-Examples-master

于 2018-04-01 发布 文件大小:2814KB
0 219
下载积分: 1 下载次数: 12
我要下载

代码说明：

  基于Tensorflow的Unet实现，里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)

文件列表：

TensorFlow-Examples-master\.gitignore, 118 , 2018-03-07
TensorFlow-Examples-master\examples\1_Introduction\basic_eager_api.py, 1937 , 2018-03-15
TensorFlow-Examples-master\examples\1_Introduction\basic_operations.py, 2355 , 2018-03-07
TensorFlow-Examples-master\examples\1_Introduction\helloworld.py, 483 , 2018-03-15
TensorFlow-Examples-master\examples\2_BasicModels\kmeans.py, 3159 , 2018-03-07
TensorFlow-Examples-master\examples\2_BasicModels\linear_regression.py, 2986 , 2018-03-07
TensorFlow-Examples-master\examples\2_BasicModels\linear_regression_eager_api.py, 2043 , 2018-03-07
TensorFlow-Examples-master\examples\2_BasicModels\logistic_regression.py, 2360 , 2018-03-07
TensorFlow-Examples-master\examples\2_BasicModels\logistic_regression_eager_api.py, 3155 , 2018-03-07
TensorFlow-Examples-master\examples\2_BasicModels\nearest_neighbor.py, 1735 , 2018-03-15
TensorFlow-Examples-master\examples\2_BasicModels\random_forest.py, 2753 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\autoencoder.py, 4755 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\bidirectional_rnn.py, 4571 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\convolutional_network.py, 4759 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\convolutional_network_raw.py, 4814 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\dcgan.py, 6243 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\dynamic_rnn.py, 7373 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\gan.py, 5655 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\multilayer_perceptron.py, 3562 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\neural_network.py, 3413 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\neural_network_eager_api.py, 4221 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\neural_network_raw.py, 3384 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\recurrent_network.py, 3989 , 2018-03-07
TensorFlow-Examples-master\examples\3_NeuralNetworks\variational_autoencoder.py, 5319 , 2018-03-07
TensorFlow-Examples-master\examples\4_Utils\save_restore_model.py, 4859 , 2018-03-07
TensorFlow-Examples-master\examples\4_Utils\tensorboard_advanced.py, 5152 , 2018-03-07
TensorFlow-Examples-master\examples\4_Utils\tensorboard_basic.py, 3346 , 2018-03-07
TensorFlow-Examples-master\examples\5_DataManagement\build_an_image_dataset.py, 7397 , 2018-03-07
TensorFlow-Examples-master\examples\5_DataManagement\tensorflow_dataset_api.py, 5345 , 2018-03-07
TensorFlow-Examples-master\examples\6_MultiGPU\multigpu_basics.py, 2356 , 2018-03-07
TensorFlow-Examples-master\examples\6_MultiGPU\multigpu_cnn.py, 7873 , 2018-03-07
TensorFlow-Examples-master\input_data.py, 5709 , 2018-03-07
TensorFlow-Examples-master\LICENSE, 1386 , 2018-03-07
TensorFlow-Examples-master\notebooks\0_Prerequisite\ml_introduction.ipynb, 1914 , 2018-03-07
TensorFlow-Examples-master\notebooks\0_Prerequisite\mnist_dataset_intro.ipynb, 2622 , 2018-03-07
TensorFlow-Examples-master\notebooks\1_Introduction\basic_operations.ipynb, 5297 , 2018-03-07
TensorFlow-Examples-master\notebooks\1_Introduction\helloworld.ipynb, 1592 , 2018-03-07
TensorFlow-Examples-master\notebooks\2_BasicModels\kmeans.ipynb, 6364 , 2018-03-07
TensorFlow-Examples-master\notebooks\2_BasicModels\linear_regression.ipynb, 62033 , 2018-03-07
TensorFlow-Examples-master\notebooks\2_BasicModels\logistic_regression.ipynb, 5001 , 2018-03-07
TensorFlow-Examples-master\notebooks\2_BasicModels\nearest_neighbor.ipynb, 13095 , 2018-03-07
TensorFlow-Examples-master\notebooks\2_BasicModels\random_forest.ipynb, 7735 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\autoencoder.ipynb, 47239 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\bidirectional_rnn.ipynb, 11956 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\convolutional_network.ipynb, 33214 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\convolutional_network_raw.ipynb, 12114 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\dcgan.ipynb, 50310 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\dynamic_rnn.ipynb, 15134 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\gan.ipynb, 46898 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\neural_network.ipynb, 30679 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\neural_network_raw.ipynb, 7146 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\recurrent_network.ipynb, 11292 , 2018-03-07
TensorFlow-Examples-master\notebooks\3_NeuralNetworks\variational_autoencoder.ipynb, 298726 , 2018-03-07
TensorFlow-Examples-master\notebooks\4_Utils\save_restore_model.ipynb, 8471 , 2018-03-07
TensorFlow-Examples-master\notebooks\4_Utils\tensorboard_advanced.ipynb, 10238 , 2018-03-07
TensorFlow-Examples-master\notebooks\4_Utils\tensorboard_basic.ipynb, 6959 , 2018-03-07
TensorFlow-Examples-master\notebooks\5_DataManagement\build_an_image_dataset.ipynb, 10524 , 2018-03-07
TensorFlow-Examples-master\notebooks\5_DataManagement\tensorflow_dataset_api.ipynb, 8841 , 2018-03-07
TensorFlow-Examples-master\notebooks\6_MultiGPU\multigpu_basics.ipynb, 4385 , 2018-03-07
TensorFlow-Examples-master\notebooks\6_MultiGPU\multigpu_cnn.ipynb, 14411 , 2018-03-07
TensorFlow-Examples-master\README.md, 11953 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_advanced_1.png, 286897 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_advanced_2.png, 329796 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_advanced_3.png, 1011024 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_advanced_4.png, 607057 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_basic_1.png, 284683 , 2018-03-07
TensorFlow-Examples-master\resources\img\tensorboard_basic_2.png, 349097 , 2018-03-07
TensorFlow-Examples-master\examples\1_Introduction, 0 , 2018-03-15
TensorFlow-Examples-master\examples\2_BasicModels, 0 , 2018-03-15
TensorFlow-Examples-master\examples\3_NeuralNetworks, 0 , 2018-03-15
TensorFlow-Examples-master\examples\4_Utils, 0 , 2018-03-15
TensorFlow-Examples-master\examples\5_DataManagement, 0 , 2018-03-15
TensorFlow-Examples-master\examples\6_MultiGPU, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\0_Prerequisite, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\1_Introduction, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\2_BasicModels, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\3_NeuralNetworks, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\4_Utils, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\5_DataManagement, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks\6_MultiGPU, 0 , 2018-03-15
TensorFlow-Examples-master\resources\img, 0 , 2018-03-15
TensorFlow-Examples-master\examples, 0 , 2018-03-15
TensorFlow-Examples-master\notebooks, 0 , 2018-03-15
TensorFlow-Examples-master\resources, 0 , 2018-03-15
TensorFlow-Examples-master, 0 , 2018-03-15

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • BM3D
    说明：  自己实现的BM3D图像去噪算法。它首先把图像分成一定大小的块，根据图像块之间的相似性，把具有相似结构的二维图像块组合在一起形成三维数组，然后用联合滤波的方法对这些三维数组进行处理，最后，通过逆变换，把处理后的结果返回到原图像中，从而得到去噪后的图像。(Image Denosing by Sparse 3-D Transform-Domain Collaborative Filtering.)
    2021-04-01 16:29:08下载
    积分：1
  • refactor
    序列匹配c++实现，可以帮助理解序列匹配算法(Sequence matching c++ implementation can help to understand the sequence matching algorithm)
    2014-02-15 20:38:24下载
    积分：1
  • Histogram
    说明：  图像处理；直方图；matlab自带函数和自己写的函数(Image processing; histogram; MATLAB functions and their own written functions)
    2020-09-04 09:57:59下载
    积分：1
  • example
    利用正则化方法对模糊图像进行恢复的算法，产生一幅图象，然后加入噪声后对特定的输入正则化参数其进行图象恢复。(The use of regularization method for the restoration of blurred images of the algorithm, resulting in an image, and then adding noise to the input of specific parameters of regularization to restore its image.)
    2009-07-06 16:00:53下载
    积分：1
  • just-noticeable-difference
    用于计算图像每个像素点的恰可识别阈值（JND），该模型为Chou所提出。(This model was used to estimation the just-noticeable difference of pixel in image, which was proposed by Chou.)
    2009-07-15 15:24:28下载
    积分：1
  • 支撑材料
    radon变换Redistribution and use in source and binary forms, with or without modification, are permitted provided that the followin(OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.)
    2017-09-17 08:20:21下载
    积分：1
  • 第三章图像灰度直方图变换
    在数字图像处理中，灰度直方图是最简单且最有用的工具，可以说，对图像的分析与观察直到形成一个有效的处理方法，都离不开直方图。(in digital image processing, the histogram is the simplest and most useful tool, it can be said that the right image analysis and observation until the formation of an effective treatment method has been based on histogram.)
    2005-06-06 19:38:58下载
    积分：1
  • DCT
    解决图像的DCT变换与逆变换，为JEPG压缩做铺垫(To solve the image DCT transform and inverse transform, in order to pave the way for JEPG compression)
    2009-10-24 18:38:40下载
    积分：1
  • DCT
    实现对一幅灰度和彩色图像作的离散余弦变换,选择适当的DCT系数阈值对其进行DCT反变换.(The realization of a piece of gray and color images for the discrete cosine transform, select the appropriate thresholds for DCT coefficients of its inverse transform DCT.)
    2008-12-13 21:51:01下载
    积分：1
  • TOOLBOX_calib
    摄像机标定程序，实现单目，双目摄像机的标定(calibration of camera )
    2009-05-20 14:06:01下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！