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Python-PYTHONCifar-10CUDACUDNNTensorFlow
An excellent training about Data Science
Python-TensorFlow
Udemy30 PythonPython TesnorFlowTensorflow 1.xTensorflow2.x.Google Colab, PythonPythonPythonTensorFlow MNIST. GoogleTensorFlowTensorSessionTensorflowTensorflowTensorflow-TensorflowTensorflowTensorflowTensorflowTensorflow, PythonPythonTensorFlowPythonNVIDIAGPUTensorFlow-GPUTensorFlow-CPU30.150.TensorFlowPythonPythonCNNRNNIMDBTensorFlowCUDACUDNNWindows 10minstTensorFlow-GPU. NVIDIAPythonTensorFlowPythonTensorFlowTensorFlow-openAICartPoleK-nearestKNNK-means: Word2VecTSNEWord2Vec-Anaconda -MacopenAICartPolePython -TensorFlowPython-1.Python1-1.MacPythonpip3 install pip3 install pip3 uninstall pip3 listAnaconda, Numpy, MatplotilibMacLaunchpadAnaconda NavigatorMacSpiderjupyter notebook1-2.Window 10PythonWindow 10PythonWindow 10Python,C:ProgramsWindow 10PythonPythonShellwin, pythonpythonpythonexit()Windows 10AnacondaAnaconda, Numpy, MatplotilibPython 3.6condaSpiderJupyter Notebook2. PythonMac/usr/local/binWindowsC:python36set path=%path%;C:python36utf-8 coding: utf-8 python$ python+*/,=,3.tuple, settuple,()tuple,{}Set{:}4,TrueFalseifwhileWhile. ifif: if: 1else: 2while, for: for in range(,):TrueFalseandTrueFalseorTrueFasleFalsenotTruenotFalseFalsenotTrueifif: if5: if (1):1elif (2):2elif (3):3elif (4):4else (5):5forPythonfor(statement)whileifwhile5. pass,6.init (self.),self init (self), del (self)7.class (1,2,3.): 1 2 (inheritance) (attribute) (method) :getEngine()8.raise, fp=open(,)9.matplotlibMatplotlib. pyplot. pyplot10. Python tuplesetScipynumpyPandasMatplotlib11. tuplesetScipytuple,()tuple,{}SetScipy12. numpynumpyreshape()np. zeros((10,3))10*313.Pandaspip installpandasPandascsvcsv, big5SeriespandasDataFramePandaslambdaPyCharmMacPyCharmPython, PycharmPythonJupyter notebookPycharmWindows 10PycharmCommunity14. TensorFlow MacVirtualenvnativepippipTensorFlowAnacondaTensorFlow15. TensorFlow GPUCUDAGPUCuda Toolkit9.0CUDNNDLLTensorFlow-GPUjupyter Notebook-GPUcpuTensorFlow15-1CUDATensorFlowCPUGPUGPUTensorFlowGPUNVIDIA. CUDA Toolkit9.0,%PATH%cuDNNcuDNN DLLs,%PATH%cuDNN64 7.dllGPUCUDA Compute Capability 3.0TensorFlowAnacondatensorFlow15-2GPUNVIDIAAnacondaAnacondaTensorFlowAnaconda15-3Cuda Toolkit9.0TensorFlow, Cuda Toolkit9.0CudaCUDA, Compute Unified Device ArchitectureNVIDIAGPUCUDACUDNNCUDNNv7.05 forCUDA9.0CUDACUDNNCUDNNv7.05 forCUDA9.015-4.DLLcuDNN64 7.dll. CUDA Toolkit, CUDA Toolkit15-5.TensorFlow-GPUAnacondatensorflowcondaPythontensorflowGpuconda create -n tensorflowGpu python=3.6.4tensorflowGpuactivate tensorflowGpupiptensroflow-gpupip install -ignore-installed -upgrade tensorflow-gpu15-6.jupyter Notebook-GPUjupyter Notebook$pip install jupyter Notebookjupyter Notebook$jupiter notebookGeForce15-7.cpuTensorFlowcpuTensorFlowpip3cpuTensorFlowcputensorflowpip install ignore-installed -upgrade tensorflowpip3AnacondaTensorFlow, Python 3pip3CPUtensorflowpip3 install -upgrade tensorflowGPUtensorflowpip3 install -upgrade tensorflow-gpu-TensorFlow-TensorFlow, Edges(Tensors),Nodes(),SessionCPU, GPU(Data Flow Graph)(Node):,>=0>=0(Edge):,16.TensorFlow16-1TensorFlowtf. Variabletf. Constanttf. Placeholdertf. SparseTensorassigncost variable assignTensorFlow, RanksShapetf. TensorShapeRanksShapeRanksShapesTensorFlow, Sessiontf. addtf. addx+yx, ytf. add( x, y, name=None)x+ytf. multiply5*21016-2TensorFlow-1j,jj*j=-1Z(n+1)=Z(n)*Z(n)+cMandelbrotreal, imagZ(n+1)=Z(n)*Z(n)+ctf. group()tensorMandelbroty=x*xyx510x=12.016-3SessionsTensorFlowTensorFlowsessionsess. run()with, close()Session16-4TensorFlow placeholderdtype, shape, nameplaceholder Tensorflowtf. addtf. multiply. tf. reduce sum()tf. addx+yx, ytf. add( x, y, name=None)x+ytf. multiplyx*yx, ytf. multiply( x, y, name=None)5*210tf. reduce sum()axisinput tensor, axiskeepdimstrue,1tf. reduce sum( input tensor, axis=None, keepdims=None, name=None, reduction indices=None, keep dims=None)seed2, tf. random uniformshapeseedtf. random uniform( shape, minval=0, maxval=None, dtype=tf. float32, seed=None, name=None),tf. random normalshape, mean, stddevdtypeseedtf. random normal( shape, mean=0.0, stddev=1.0, dtype=tf. float32, seed=None, name=None)TensorFlowmatplotlibtensorflowimport matplotlib. image as matImageimport matplotlib. pyplot as pltimport tensorflow as tftranspose()perm=[0,1],01tf. transpose(x, perm=[1, 0])perm[1,0]tf. transpose(x, perm=[1,0,2])perm16-5 tensorboardlogdirTensorFlowmnistW,b,XXWbios, softmaxyTensorFlowTensorFlowtf. matmul()Class GradientDescentOptimizer17. TensorFlowCNNtensorflowconv2ddeepnn(x) 32 6498.59%TensorBoardGraphsy=log(x)TensorFlow (Python -)TensorFlowCNNTensorflowPyCharmTensorFlowCifar-10TensorboardTensorFlowTensorFlowconv 1TensorFlowVisualizationTensorFlow TensorFlowfully connected 1TensorFlowCifar 10TensorFlowSaver18. TensorFlow+KerasCNNCifar-10TensorflowCifar-10:cifar10 data okcifar10. load data()RGB()0()255()(Intensity)0-255Kerasadd()(units)(activation function),model. fit()1000073%:cifar10 kkTensorFlowCNNTensorflowPyCharmTensorFlowCifar-10TensorboardTensorFlowTensorFlowconv 1TensorFlowVisualizationTensorFlow TensorFlowfully connected 1TensorFlowCifar 10TensorFlowSaverPython -TensorFlowPython, Mean,a,b,Losssession,(): : : K-neares
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