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文库首页人工智能深度学习TensorFlow in 1 Day: Make your own Neural Network完整版

TensorFlow in 1 Day: Make your own Neural Network完整版

深度学习

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TensorFlow in 1 Day:Make your own Neural Network。题目相当霸气，能不能快速掌握tensorflow就在此书了。

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TensorFlowin1Day:Makeyourown

NeuralNetwork

ByKrishnaRungta



ALLRIGHTSRESERVED.Nopartofthispublicationmaybereproducedor

transmittedinanyformwhatsoever,electronic,ormechanical,including

photocopying,recording,orbyanyinformationalstorageorretrievalsystem

withoutexpresswritten,datedandsignedpermissionfromtheauthor.

TableOfContent

Chapter1:WhatisDeeplearning?

1. WhatisDeeplearning?

2. DeeplearningProcess

3. ClassificationofNeuralNetworks

4. TypesofDeepLearningNetworks

5. Feed-forwardneuralnetworks

6. Recurrentneuralnetworks(RNNs)

7. Convolutionalneuralnetworks(CNN)

Chapter2:MachineLearningvsDeepLearning

1. WhatisAI?

2. WhatisML?

3. WhatisDeepLearning?

4. MachineLearningProcess

5. DeepLearningProcess

6. AutomateFeatureExtractionusingDL

7. DifferencebetweenMachineLearningandDeepLearning

8. WhentouseMLorDL?

Chapter3:WhatisTensorFlow?

1. WhatisTensorFlow?

2. HistoryofTensorFlow

3. TensorFlowArchitecture

4. WherecanTensorflowrun?

5. IntroductiontoComponentsofTensorFlow

6. WhyisTensorFlowpopular?

7. ListofProminentAlgorithmssupportedbyTensorFlow

Chapter4:ComparisonofDeepLearningLibraries

1. 8BestDeeplearningLibraries/Framework

2. MICROSOFTCOGNITIVETOOLKIT(CNTK)

3. TenserFlowVsTheanoVsTorchVsKerasVsinfer.netVsCNTKVs

MXNetVsCaffe:KeyDifferences

Chapter5:HowtoDownloadandInstallTensorFlowWindowsandMac

1. TensorFlowVersions

2. InstallAnaconda

3. Create.ymlfiletoinstallTensorflowanddependencies

4. LaunchJupyterNotebook

5. Jupyterwiththemaincondaenvironment

Chapter6:JupyterNotebookTutorial

1. WhatisJupyterNotebook?

2. JupyterNotebookApp

3. HowtouseJupyter

Chapter7:TensorflowonAWS

1. PART1:Setupakeypair

2. PART2:Setupasecuritygroup

3. Launchyourinstance(Windowsusers)

4. Part4:InstallDocker

5. Part5:InstallJupyter

6. Part6:Closeconnection

Chapter8:TensorFlowBasics:Tensor,Shape,Type,Graph,Sessions&

Operators

1. WhatisaTensor?

2. RepresentationofaTensor

3. TypesofTensor

4. Shapeoftensor

5. Typeofdata

6. Creatingoperator

7. Variables

Chapter9:Tensorboard:GraphVisualizationwithExample

Chapter10:NumPy

1. WhatisNumPy?

2. WhyuseNumPy?

3. HowtoinstallNumPy?

4. MathematicalOperationsonanArray

5. ShapeofArray

6. np.zerosandnp.ones

7. ReshapeandFlattenData

8. hstackandvstack

Chapter11:Pandas

1. WhatisPandas?

2. WhyusePandas?

3. HowtoinstallPandas?

4. Whatisadataframe?

5. WhatisaSeries?

6. Concatenation

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