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TensorFlow-Examples-master

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

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

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  • 0460
    水平百叶窗显示图片,讲一张图像垂直分成若干份,bitblt一行一行的显示(The level of blinds show pictures, talk about an image vertically divided into several copies, bitblt display line by line)
    2009-12-23 12:20:12下载
    积分:1
  • dongtai
    直方图增强的,动态频数均衡,用matlab编写(Histogram enhanced, dynamic frequency equalization, using matlab write)
    2009-09-26 15:03:28下载
    积分:1
  • contact
    轮轨接触CONTACT程序,可以用来计算轮轨磨耗(Wheel-rail contact CONTACT procedures can be used to calculate the wheel-rail wear)
    2021-01-06 10:38:53下载
    积分:1
  • 5.2
    AMN解决分类问题 用MATLAB去实现(ANN MATLAB)
    2009-12-05 09:12:43下载
    积分:1
  • BasedonHVSdigitalimagewatermarkinginwaveletdomain
    说明:  基于人类视觉系统HVS的小波域数字图像水印 包含:嵌入、提取、分解、重构等(Based on human visual system HVS digital image watermarking in wavelet domain include: embedding, extraction, decomposition, reconstruction, etc.)
    2010-03-18 13:41:08下载
    积分:1
  • 相关系数
    简单明了地计算两幅图片的相关性,绝对好用,亲身示范(Correlation coffiention)
    2017-07-24 22:48:33下载
    积分:1
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    提取并显示鼠标所在图像点的颜色,C++精选学习源码,很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)
    2013-11-27 07:44:55下载
    积分:1
  • gradient_palette
    OpenGL高级编程与可视化系统开发(高级编程篇)的随书源码-4,学习OpenGL的好东西-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL (OpenGL high-level programming and visualization systems development (high-level programming chapter)-4 of the source with the book, learning OpenGL good things-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL)
    2008-08-18 13:59:22下载
    积分:1
  • vision
    MATLAB的机器视觉工具箱 绝对的精品(MATLAB toolbox of machine vision products absolute)
    2008-12-10 00:27:02下载
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  • csllk
    连连看源代码及素材,丰富图片资源,适合初学者,大家一起来交换素材吧(Lianliankan source code and material, rich images of resources, suitable for beginners, everyone will work together to exchange material bar)
    2010-03-16 00:42:35下载
    积分:1
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