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Hands/On Machine Learning with C++
會員

ImplementsupervisedandunsupervisedmachinelearningalgorithmsusingC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlibwiththehelpofreal-worldexamplesanddatasetsKeyFeatures.Becomefamiliarwithdataprocessing,performancemeasuring,andmodelselectionusingvariousC++libraries.Implementpracticalmachinelearninganddeeplearningtechniquestobuildsmartmodels.DeploymachinelearningmodelstoworkonmobileandembeddeddevicesBookDescriptionC++canmakeyourmachinelearningmodelsrunfasterandmoreefficiently.Thishandyguidewillhelpyoulearnthefundamentalsofmachinelearning(ML),showingyouhowtouseC++librariestogetthemostoutofyourdata.ThisbookmakesmachinelearningwithC++forbeginnerseasywithitsexample-basedapproach,demonstratinghowtoimplementsupervisedandunsupervisedMLalgorithmsthroughreal-worldexamples.Thisbookwillgetyouhands-onwithtuningandoptimizingamodelfordifferentusecases,assistingyouwithmodelselectionandthemeasurementofperformance.You’llcovertechniquessuchasproductrecommendations,ensemblelearning,andanomalydetectionusingmodernC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlib.Next,you’llexploreneuralnetworksanddeeplearningusingexamplessuchasimageclassificationandsentimentanalysis,whichwillhelpyousolvevariousproblems.Later,you’lllearnhowtohandleproductionanddeploymentchallengesonmobileandcloudplatforms,beforediscoveringhowtoexportandimportmodelsusingtheONNXformat.BytheendofthisC++book,youwillhavereal-worldmachinelearningandC++knowledge,aswellastheskillstouseC++tobuildpowerfulMLsystems.Whatyouwilllearn.ExplorehowtoloadandpreprocessvariousdatatypestosuitableC++datastructures.EmploykeymachinelearningalgorithmswithvariousC++libraries.Understandthegrid-searchapproachtofindthebestparametersforamachinelearningmodel.ImplementanalgorithmforfilteringanomaliesinuserdatausingGaussiandistribution.Improvecollaborativefilteringtodealwithdynamicuserpreferences.UseC++librariesandAPIstomanagemodelstructuresandparameters.ImplementaC++programtosolveimageclassificationtaskswithLeNetarchitectureWhothisbookisforYouwillfindthisC++machinelearningbookusefulifyouwanttogetstartedwithmachinelearningalgorithmsandtechniquesusingthepopularC++language.AswellasbeingausefulfirstcourseinmachinelearningwithC++,thisbookwillalsoappealtodataanalysts,datascientists,andmachinelearningdeveloperswhoarelookingtoimplementdifferentmachinelearningmodelsinproductionusingvarieddatasetsandexamples.WorkingknowledgeoftheC++programminglanguageismandatorytogetstartedwiththisbook.

Kirill Kolodiazhnyi ·電子通信 ·10.7萬字

TensorFlow Machine Learning Cookbook
會員

Exploremachinelearningconceptsusingthelatestnumericalcomputinglibrary—TensorFlow—withthehelpofthiscomprehensivecookbookAboutThisBook?YourquickguidetoimplementingTensorFlowinyourday-to-daymachinelearningactivities?Learnadvancedtechniquesthatbringmoreaccuracyandspeedtomachinelearning?UpgradeyourknowledgetothesecondgenerationofmachinelearningwiththisguideonTensorFlowWhoThisBookIsForThisbookisidealfordatascientistswhoarefamiliarwithC++orPythonandperformmachinelearningactivitiesonaday-to-daybasis.Intermediateandadvancedmachinelearningimplementerswhoneedaquickguidetheycaneasilynavigatewillfindituseful.WhatYouWillLearn?BecomefamiliarwiththebasicsoftheTensorFlowmachinelearninglibrary?GettoknowLinearRegressiontechniqueswithTensorFlow?LearnSVMswithhands-onrecipes?Implementneuralnetworksandimprovepredictions?ApplyNLPandsentimentanalysistoyourdata?MasterCNNandRNNthroughpracticalrecipes?TakeTensorFlowintoproductionInDetailTensorFlowisanopensourcesoftwarelibraryforMachineIntelligence.TheindependentrecipesinthisbookwillteachyouhowtouseTensorFlowforcomplexdatacomputationsandwillletyoudigdeeperandgainmoreinsightsintoyourdatathaneverbefore.You’llworkthroughrecipesontrainingmodels,modelevaluation,sentimentanalysis,regressionanalysis,clusteringanalysis,artificialneuralnetworks,anddeeplearning–eachusingGoogle’smachinelearninglibraryTensorFlow.ThisguidestartswiththefundamentalsoftheTensorFlowlibrarywhichincludesvariables,matrices,andvariousdatasources.Movingahead,youwillgethands-onexperiencewithLinearRegressiontechniqueswithTensorFlow.Thenextchapterscoverimportanthigh-levelconceptssuchasneuralnetworks,CNN,RNN,andNLP.OnceyouarefamiliarandcomfortablewiththeTensorFlowecosystem,thelastchapterwillshowyouhowtotakeittoproduction.StyleandapproachThisbooktakesarecipe-basedapproachwhereeverytopicisexplicatedwiththehelpofareal-worldexample.

Nick McClure ·電子通信 ·7.7萬字

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