TableofContents
BuildingMachineLearningProjectswithTensorFlow
Credits
AbouttheAuthor
AbouttheReviewer
www.PacktPub.com
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Preface
Whatthisbookcovers
Whatyouneedforthisbook
Whothisbookisfor
Conventions
Readerfeedback
Customersupport
Downloadingtheexamplecode
Errata
Piracy
Questions
1.ExploringandTransformingData
TensorFlow'smaindatastructure-tensors
Tensorproperties-ranks,shapes,andtypes
Tensorrank
Tensorshape
Tensordatatypes
Creatingnewtensors
Fromnumpytotensorsandviceversa
Usefulmethod
Gettingthingsdone-interactingwithTensorFlow
Handlingthecomputingworkflow-TensorFlow'sdataflowgraph
Computationgraphbuilding
Usefuloperationobjectmethods
Feeding
Variables
Variableinitialization
Savingdataflowgraphs
Graphserializationlanguage-protocolbuffers
Usefulmethods
Examplegraphbuilding
Runningourprograms-Sessions
Basictensormethods
Simplematrixoperations
Reduction

Tensorsegmentation
Sequences
Tensorshapetransformations
Tensorslicingandjoining
Dataflowstructureandresultsvisualization-TensorBoard
Commandlineuse
HowTensorBoardworks
AddingSummarynodes
CommonSummaryoperations
SpecialSummaryfunctions
InteractingwithTensorBoard'sGUI
Readinginformationfromdisk
Tabulatedformats-CSV
TheIrisdataset
Readingimagedata
Loadingandprocessingtheimages
ReadingfromthestandardTensorFlowformat
Summary
2.Clustering
Learningfromdata-unsupervisedlearning
Clustering
k-means
Mechanicsofk-means
Algorithmiterationcriterion
k-meansalgorithmbreakdown
Prosandconsofk-means
k-nearestneighbors
Mechanicsofk-nearestneighbors
Prosandconsofk-nn
PracticalexamplesforUsefullibraries
matplotlibplottinglibrary
Samplesyntheticdataplotting
scikit-learndatasetmodule
Aboutthescikit-learnlibrary
Syntheticdatasettypes
Blobsdataset
Employedmethod
Circledataset
Employedmethod
Moondataset
Project1-k-meansclusteringonsyntheticdatasets
Datasetdescriptionandloading
Generatingthedataset
Modelarchitecture

Lossfunctiondescriptionandoptimizerloop
Stopcondition
Resultsdescription
Fullsourcecode
k-meansoncirclesyntheticdata
Project2-nearestneighboronsyntheticdatasets
Datasetgeneration
Modelarchitecture
Lossfunctiondescription
Stopcondition
Resultsdescription
Fullsourcecode
Summary
3.LinearRegression
Univariatelinearmodellingfunction
Sampledatageneration
Determinationofthecostfunction
Leastsquares
Minimizingthecostfunction
Generalminimaforleastsquares
Iterativemethods-gradientdescent
Examplesection
OptimizermethodsinTensorFlow-thetrainmodule
Thetf.train.Optimizerclass
OtherOptimizerinstancetypes
Example1-univariatelinearregression
Datasetdescription
Modelarchitecture
CostfunctiondescriptionandOptimizerloop
Stopcondition
Resultsdescription
ReviewingresultswithTensorBoard
Fullsourcecode
Example-multivariatelinearregression
Usefullibrariesandmethods
Pandaslibrary
Datasetdescription
Modelarchitecture
LossfunctiondescriptionandOptimizerloop
Stopcondition
Resultsdescription
Fullsourcecode
Summary
4.LogisticRegression