Chapter 10 do not have codes as it explains some basic installation steps and some additional tips for code testing the book.
[Code]Building Machine Learning Projects with TensorFlow_Code
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2017-12-01
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Building Machine Learning Projects with TensorFlow_Code.zip （78个子文件） 
BuildingMachineLearningProjectswithTensorFlow_Code 8 
stylize.pyc 5KB vgg.pyc 3KB
style.jpg 245KB stylize.py 5KB out.jpg 69KB neural_style.py 6KB vgg.py 2KB .ipynb_checkpoints Cifar10-checkpoint.ipynb 3KB VGG retraining-checkpoint.ipynb 72B content.jpg 181KB
LICENSE.txt 34KB 1 indexed_operations.py 588B matrix_operations.py 811B new indexed_operations.py 588B matrix_operations.py 811B segmentation.py 676B rank_and_shape.py 447B iris.csv 4KB reduction.py 692B slice_and_join.py 0B segmentation.py 676B rank_and_shape.py 447B iris.csv 4KB reduction.py 692B slice_and_join.py 0B 5 CH5_linear_regression_nn.ipynb 14KB Ch5_third_example.ipynb 35KB data wine.csv 11KB mpg.csv 17KB CH5_Nonlinear.ipynb 42KB 7 Code data elec_load.csv 2.25MB CH7_time_series.py 3KB CH7_time_series.ipynb 261KB 9 gpu_pi.py 840B start_server.py 445B trainer.py 4KB cluster_pi_final.py 948B 2 CH2_KNN.ipynb 203KB CH2_NN.py 2KB CH2_kmeans-FINAL.ipynb 1.37MB CH2_kmeans.py 3KB
Software and hardware list.pdf 151KB 6 old convolution.ipynb 2KB data 
test2.gif 102KB blue_jay.jpg 606KB test.gif 95KB leopard.jpg 143KB Mnist_final.ipynb 90KB CIFAR.ipynb 97KB image_subsampling.ipynb 2KB convolution.ipynb 2KB data test2.gif 102KB blue_jay.jpg 606KB test.gif 95KB leopard.jpg 143KB cifar-10-batches-bin test_batch.bin 29.31MB data_batch_1.bin 29.31MB batches.meta.txt 61B
readme.html 88B Mnist_final.ipynb 90KB CIFAR.ipynb 79KB image_subsampling.ipynb 2KB 3 Univariate linear regression.py 2KB data boston.csv 31KB Multivariate Linear Regression.py 2KB Univariate linear regression.ipynb 61KB Multivariate Linear Regression.ipynb 180KB 4 CH4_univariate_logistic_regression_skflow.py 754B old binary.csv 5KB CH4_skflow.ipynb 2KB data CHD.csv 609B CH4_draft.ipynb 199KB Test_CH4.ipynb 64KB CH4_Univariate_logistic_regression.ipynb 64KB data CHD.csv 609B CH4_Univariate_Logistic_regression.py 3KB CH4_univariate_logistic_regression_skflow.ipynb 2KB ReadMe.txt 125B资源评论
