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这里提供了一些tensorflow基本的instruction，包含4个部分的内容：basics，linear，learning，distributing. tensorflow提供了lower API 和 higher API. 利用higher API可以像scikit-learn一样直接使用内置machine learning算法，而lower API要自己构建计算图，并在Session中执行

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
tf_basics_Arrays.py		tf_basics_Arrays.py
tf_basics_InteractiveSessions.ipynb		tf_basics_InteractiveSessions.ipynb
tf_basics_Placeholders.py		tf_basics_Placeholders.py
tf_basics_ReadingFiles.py		tf_basics_ReadingFiles.py
tf_basics_Variables.py		tf_basics_Variables.py
tf_basics_Visualization.py		tf_basics_Visualization.py
tf_distributing_CustomFunction.py		tf_distributing_CustomFunction.py
tf_distributing_DistributedComputing.py		tf_distributing_DistributedComputing.py
tf_distributing_SetupGPU.txt		tf_distributing_SetupGPU.txt
tf_distributing_UsingGPU.py		tf_distributing_UsingGPU.py
tf_distributing_createWorker.py		tf_distributing_createWorker.py
tf_learning_Clustering.py		tf_learning_Clustering.py
tf_learning_Convergence.py		tf_learning_Convergence.py
tf_learning_TensorFlowLearn.py		tf_learning_TensorFlowLearn.py
tf_linear_3D.py		tf_linear_3D.py
tf_linear_Broadcasting.py		tf_linear_Broadcasting.py
tf_linear_Classifying.py		tf_linear_Classifying.py
tf_linear_LinearEquations.py		tf_linear_LinearEquations.py
tf_linear_Randomness.py		tf_linear_Randomness.py

Seagrass27/Tensorflow_Learning

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