电子游戏冰球突破违法吗

ConvolutionalNeuralNetworks(CNN)areoneofthemostpopulararchitecturesusedincomputervisionapps.ThisbookisanintroductiontoCNNsthroughsolvingreal-worldproblemsindeeplearningwhileteachingyoutheirimplementationinpopularPythonlibrary-TensorFlow.Bytheendofthebook,youwillbetrainingCNNsinnotime!Westartwithanoverviewofpopularmachinelearninganddeeplearningmodels,andthengetyousetupwithaTensorFlowdevelopmentenvironment.Thisenvironmentisthebasisforimplementingandtrainingdeeplearningmodelsinlaterchapters.Then,youwilluseConvolutionalNeuralNetworkstoworkonproblemssuchasimageclassification,objectdetection,andsemanticsegmentation.Afterthat,youwillusetransferlearningtoseehowthesemodelscansolveotherdeeplearningproblems.Youwillalsogetatasteofimplementinggenerativemodelssuchasautoencodersandgenerativeadversarialnetworks.Lateron,youwillseeusefultipsonmachinelearningbestpracticesandtroubleshooting.Finally,youwilllearnhowtoapplyyourmodelsonlargedatasetsofmillionsofimages.

·5.2萬字

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Source SDK Game Development Essentials

Thisbookiswrittenbyagamer,foragamertoguidejustaboutanythingwithSourceSDKgivingafirmgraspofallthetoolsithastoofferusingstepbystepexplanations.Ifyou’reakeengamerwhowantsabitmoreoutofyourfavoritegameandcreateyourownmodifications(mods)andlevelswiththeSourceengine,thisbookisgreatforyou.NoprogrammingandSourceSDKexperienceisrequired.

·4.9萬字

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青雨紅顏：Photoshop古風水彩CG插畫繪制技法

中國畫美感的古風水彩插畫一直頗受歡迎，但常有讀者雖熱愛繪畫卻苦惱于畫不好線稿或不會上色等問題，本書就是要解決這些問題。一幅好的水彩插畫要有點、線、面的元素結合，恰當的配色，正確的人體動態造型，以及頗有意境的畫面內容，只有掌握了這些內容才能畫出唯美的插畫。本書共分為5章，第1章帶領讀者學習Photoshop軟件的基礎知識；第2章詳細講解古風插畫的配色技巧；第3章通過對人體結構的講解幫助讀者掌握古風人物的繪制；第4章詳細講解場景的繪制技法；第5章通過完整的案例講解，帶領讀者學習古風插畫的繪制過程。作者將自己的繪畫經驗傾囊相授，意圖讓讀者在繪畫時學會思考，總結出自己的獨到畫法。本書適合插畫師、數字繪畫初學者及繪畫愛好者學習使用。盡情釋放自己的情緒，去感悟畫中那人、那景給世人展示的故事吧！

·3.9萬字

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The Applied TensorFlow and Keras Workshop

Machinelearninggivescomputerstheabilitytolearnlikehumans.Itisbecomingincreasinglytransformationaltobusinessesinmanyforms,andakeyskilltolearntoprepareforthefuturedigitaleconomy.Asabeginner,you’llunlockaworldofopportunitiesbylearningthetechniquesyouneedtocontributetothedomainsofmachinelearning,deeplearning,andmoderndataanalysisusingthelatestcutting-edgetools.TheAppliedTensorFlowandKerasWorkshopbeginsbyshowingyouhowneuralnetworkswork.Afteryou’veunderstoodthebasics,youwilltrainafewnetworksbyalteringtheirhyperparameters.Tobuildonyourskills,you’lllearnhowtoselectthemostappropriatemodeltosolvetheprobleminhand.Whiletacklingadvancedconcepts,you’lldiscoverhowtoassembleadeeplearningsystembybringingtogetheralltheessentialelementsnecessaryforbuildingabasicdeeplearningsystem-data,model,andprediction.Finally,you’llexplorewaystoevaluatetheperformanceofyourmodel,andimproveitusingtechniquessuchasmodelevaluationandhyperparameteroptimization.Bytheendofthisbook,you'llhavelearnedhowtobuildaBitcoinappthatpredictsfutureprices,andbeabletobuildyourownmodelsforotherprojects.

·2.9萬字

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Building Bluetooth Low Energy Systems

ThebookisfordevelopersandenthusiastswhoarepassionateaboutlearningBluetoothLowEnergytechnologiesandwanttoaddnewfeaturesandservicestotheirneworexistingproducts.TheyshouldbefamiliarwithprogramminglanguagessuchasSwift,Java,andJavaScript.Knowledgeofdebuggingskillswouldbeanadvantage.

·4.4萬字

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BeagleBone Robotic Projects

Developpracticalexampleprojectswithdetailedexplanations;combinetheprojectsinavastnumberofwaystocreatedifferentrobotdesigns,orworkthroughtheminsequencetodiscoverthefullcapabilityoftheBeagleBoneBlack.Thisbookisforanyonewhoiscuriousaboutusingnew,low-costhardwaretocreateroboticprojectsthathavepreviouslybeenthedomainofresearchlabs,majoruniversitiesorDefencedepartments.Someprogrammingexperiencewouldbeuseful,butifyouknowhowtouseapersonalcomputer,youcanusethisbooktoconstructfarmorecomplexsystemsthanyouwouldhavethoughtpossible.

·4.4萬字

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The Applied AI and Natural Language Processing Workshop

AreyoufascinatedwithapplicationslikeAlexaandSiriandhowtheyaccuratelyprocessinformationwithinsecondsbeforereturningaccurateresults?Areyoulookingforapracticalguidethatwillteachyouhowtobuildintelligentapplicationsthatcanrevolutionizetheworldofartificialintelligence?TheAppliedAIandNLPWorkshopwilltakeyouonapracticaljourneywhereyouwilllearnhowtobuildartificialintelligence(AI)andnaturallanguageprocessing(NLP)applicationswithAmazonWebservices(AWS).StartingwithanintroductiontoAIandmachinelearning,thisbookwillexplainhowAmazonS3,orAmazonSimpleStorageService,works.You’llthenintegrateAIwithAWStobuildserverlessservicesanduseAmazon’sNLPserviceComprehendtoperformtextanalysisonadocument.Asyouadvance,thebookwillhelpyougettogripswithtopicmodelingtoextractandanalyzecommonthemesonasetofdocumentswithunknowntopics.You’llalsoworkwithAmazonLextocreateandcustomizeachatbotfortaskautomationanduseAmazonRekognitionfordetectingobjects,scenes,andtextinimages.BytheendofTheAppliedAIandNLPWorkshop,you’llbeequippedwiththeknowledgeandskillsneededtobuildscalableintelligentapplicationswithAWS.

·4.4萬字

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玩轉3D打印

3D打印是一種快速成型技術。它以3D數字模型為原型，通過逐層堆疊累積的方式將3D模型構建成為真實的物體。3D打印機的出現，為各行各業都帶來了新的發展機遇。《玩轉3D打印》帶領讀者了解3D打印技術的起源、發展和現狀，結合3D模型構建、3D打印機的操作和使用，介紹了如何掌握和應用3D打印技術、眾多的3D打印機的應用案例，并且展望了3D打印給各行各業所帶來的發展機遇。全書圖文并茂、講解細致；內容層次分明，由淺入深，并配有大量3D打印機的操作截圖。《玩轉3D打印》適合想要了解和掌握3D打印技術的讀者閱讀；對于期望將3D打印技術應用到實際工作中的讀者，《玩轉3D打印》也有一定的參考價值。

·5.8萬字

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3D Printing Blueprints

MakerBotProjectsBlueprintsisaproject-basedbook,witheachchaptertakingyouthroughthecreationofanawesomestand-aloneproject.MakerBotProjectBlueprintsisforanyonewithaninterestinthe3Dprintingrevolutionandtheslightestbitofcomputerskills.Whetheryouowna3Dprinterornotyoucandesignforthem.AllittakesisBlender,afree3Dmodelingtool,thisbookandalittlecreativityandsomedayyou’llbeabletoholdsomethingyoudesignedinthecomputerinyourhands.

·4.4萬字

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計算機組裝與維修學習指導與練習

計算機組裝與維修是內蒙古自治區對口升學指定教材。本學習指導與練習是它的配套教材。習題集主要針對各章節的知識要點、技能要點給出了配套的習題，旨在強化對教材重點內容的把握，在本書的第二部分給出了模擬樣卷，對參加對口升學考試有較大的幫助。

·3萬字

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Hands-On Motion Graphics with Adobe After Effects CC

Ifyou’rethinkingseriouslyaboutmakingandpublishingyourvideoswithprofessionaleditingandanimation,looknofurther!AdobeAfterEffectsisapopulartoolamongvideoeditorsandYouTuberstoenhancetheirvideosandbringthemtolifebyimplementingvisualeffectsandmotiongraphics.ThisbookwilltakeyourightfromthebasicsthroughtotheadvancedtechniquesinAdobeAfterEffectsCC2018.Youwillstartbysettingupyoureditingenvironmenttolearnandimprovetechniquestosharpenyourvideoeditingskills.Furthermore,youwillworkwithbasicandadvancedspecialeffectstocreate,modify,andoptimizemotiongraphicsinyourvideos.Lastly,youwillnotonlylearnhowtocreate2.5Danimations,butalsogettogripswithusingCinema4DLitetobuildandanimatecomplete3Dscenes.Bytheendofthebook,you’llhavelearnedhowtopackageavideoefficientlywiththehelpoftheprojectscovered.

·4萬字

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Building Smart LEGO MINDSTORMS EV3 Robots

Thisbookisforhobbyists,roboticengineers,andprogrammerswhounderstandthebasicsoftheEV3programminglanguageandarefamiliarwithbuildingwithLEGOTechnicandwanttotrysomeadvancedprojects.IfyouwanttolearnsomenewengineeringtechniquesandtakeyourexperiencewiththeEV3tothenextlevel,thenthisbookisforyou.

·4萬字

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Applied Unsupervised Learning with R

Startingwiththebasics,AppliedUnsupervisedLearningwithRexplainsclusteringmethods,distributionanalysis,dataencoders,andfeaturesofRthatenableyoutounderstandyourdatabetterandgetanswerstoyourmostpressingbusinessquestions.Thisbookbeginswiththemostimportantandcommonlyusedmethodforunsupervisedlearning-clustering-andexplainsthethreemainclusteringalgorithms-k-means,divisive,andagglomerative.Followingthis,you'llstudymarketbasketanalysis,kerneldensityestimation,principalcomponentanalysis,andanomalydetection.You'llbeintroducedtothesemethodsusingcodewritteninR,withfurtherinstructionsonhowtoworkwith,edit,andimproveRcode.Tohelpyougainapracticalunderstanding,thebookalsofeaturesusefultipsonapplyingthesemethodstorealbusinessproblems,includingmarketsegmentationandfrauddetection.Byworkingthroughinterestingactivities,you'llexploredataencodersandlatentvariablemodels.Bytheendofthisbook,youwillhaveabetterunderstandingofdifferentanomalydetectionmethods,suchasoutlierdetection,Mahalanobisdistances,andcontextualandcollectiveanomalydetection.

·3.9萬字

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Machine Learning with Go Quick Start Guide

Machinelearningisanessentialpartoftoday'sdata-drivenworldandisextensivelyusedacrossindustries,includingfinancialforecasting,robotics,andwebtechnology.ThisbookwillteachyouhowtoefficientlydevelopmachinelearningapplicationsinGo.Thebookstartswithanintroductiontomachinelearninganditsdevelopmentprocess,explainingthetypesofproblemsthatitaimstosolveandthesolutionsitoffers.ItthencoverssettingupafrictionlessGodevelopmentenvironment,includingrunningGointeractivelywithJupyternotebooks.Finally,commondataprocessingtechniquesareintroduced.Thebookthenteachesthereaderaboutsupervisedandunsupervisedlearningtechniquesthroughworkedexamplesthatincludetheimplementationofevaluationmetrics.Theseworkedexamplesmakeuseoftheprominentopen-sourcelibrariesGoMLandGonum.Thebookalsoteachesreadershowtoloadapre-trainedmodelanduseittomakepredictions.Itthenmovesontotheoperationalsideofrunningmachinelearningapplications:deployment,ContinuousIntegration,andhelpfuladviceforeffectiveloggingandmonitoring.Attheendofthebook,readerswilllearnhowtosetupamachinelearningprojectforsuccess,formulatingrealisticsuccesscriteriaandaccuratelytranslatingbusinessrequirementsintotechnicalones.

·3.8萬字

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Machine Learning Projects for Mobile Applications

Machinelearningisatechniquethatfocusesondevelopingcomputerprogramsthatcanbemodifiedwhenexposedtonewdata.Wecanmakeuseofitforourmobileapplicationsandthisbookwillshowyouhowtodoso.Thebookstartswiththebasicsofmachinelearningconceptsformobileapplicationsandhowtogetwellequippedforfurthertasks.YouwillstartbydevelopinganapptoclassifyageandgenderusingCoreMLandTensorflowLite.YouwillexploreneuralstyletransferandgetfamiliarwithhowdeepCNNswork.WewillalsotakeacloserlookatGoogle’sMLKitfortheFirebaseSDKformobileapplications.Youwilllearnhowtodetecthandwrittentextonmobile.YouwillalsolearnhowtocreateyourownSnapchatfilterbymakinguseoffacialattributesandOpenCV.Youwilllearnhowtotrainyourownfoodclassificationmodelonyourmobile;allofthiswillbedonewiththehelpofdeeplearningtechniques.Lastly,youwillbuildanimageclassifieronyourmobile,compareitsperformance,andanalyzetheresultsonbothmobileandcloudusingTensorFlowLitewithanRCNN.Bytheendofthisbook,youwillnotonlyhavemasteredtheconceptsofmachinelearningbutalsolearnedhowtoresolveproblemsfacedwhilebuildingpowerfulappsonmobilesusingTensorFlowLite,Caffe2,andCoreML.

·3.8萬字

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Arduino項目案例：游戲開發

本書以“大眾創業萬眾創新”為時代背景，結合當前高等院校創新實踐課程，總結Arduino開源硬件的開發方法，并給出了系統開發Arduino智能硬件產品的實際案例。其主要內容包括四個方面：開源硬件簡介及Arduino開發板，Arduino開發產品的基本方法、外圍硬件及傳感器使用方法。本書內容是教師在教學過程中，基于Arduino開發平臺，指導學生進行創新項目，最后總結了優秀的項目開發案例，圖文并茂，豐富實用，深入淺出，易學易用。對于書中的每個案例從項目背景、創意描述、功能及總體設計、具體電路圖、系統流程圖、產品展示以及每個案例所用模塊進行詳細講解，使讀者可以從不同層面對開發案例進行分析、理解和具體實現。

·3.3萬字

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SDL Game Development

Writtenasapracticalandengagingtutorial,SDLGameDevelopmentguidesyouthroughdevelopingyourownframeworkandthecreationoftwoengaginggames.IfyouknowC++andyou’relookingtomakegreatgamesfromthegroundup,thenthisbookisperfectforyou.

·3.8萬字

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Arduino Android Blueprints

ThisbookisforthosewhowanttolearnhowtobuildexcitingArduinoprojectsbyinterfacingitwithAndroid.Youwillneedtohavesomebasicexperienceinelectronicsandprogramming.However,youdon'tneedtohaveanypreviousexperiencewiththeArduinoorAndroidplatforms.

·3.7萬字

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BeagleBone By Example

ThisbookisintendedforhobbyistsandconsumerswhowishtocreateimpressiveprojectsusingBeagleBone.YoumustbefamiliarwithPythonprogramming.

·3.6萬字

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小創客輕松玩轉micro：bit

micro:bit是一款應用廣泛的開源硬件平臺，由英國廣播電視公司（BBC）專為青少年編程教育設計而推出，是青少年開展創客實踐活動的好幫手。本書采用Mixly圖形化編程工具，以案例導向的方式，結合視頻講解，先介紹了micro:bit各個功能模塊的基本開發技巧，然后介紹了三個趣味綜合開發實例，接著又通過三個好玩的應用案例講解了micro:bit的拓展進階玩法，最后結合3D打印完成了micro:bit外殼和機器人的制作與開發。本書內容非常實用，案例豐富有趣，講解循序漸進；全彩印刷，圖文并茂，視頻教學，還提供所有軟件工具、全部程序源文件，只需動動手，掃描書中二維碼即可獲取，是一本超值的micro:bit開發圖書。本書非常適合micro:bit初學者、青少年朋友、中小學信息技術老師、開源硬件迷等開展創客和STEAM教育活動使用。你離成為一名真正的小創客，或許只有這一本書的距離！

·1.9萬字

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Hands-On Convolutional Neural Networks with TensorFlow

Source SDK Game Development Essentials

青雨紅顏：Photoshop古風水彩CG插畫繪制技法

The Applied TensorFlow and Keras Workshop

Building Bluetooth Low Energy Systems

BeagleBone Robotic Projects

The Applied AI and Natural Language Processing Workshop

玩轉3D打印

3D Printing Blueprints

計算機組裝與維修學習指導與練習

Hands-On Motion Graphics with Adobe After Effects CC

Building Smart LEGO MINDSTORMS EV3 Robots

Applied Unsupervised Learning with R

Machine Learning with Go Quick Start Guide

Machine Learning Projects for Mobile Applications

Arduino項目案例：游戲開發

SDL Game Development

Arduino Android Blueprints

BeagleBone By Example

小創客輕松玩轉micro：bit