TensorFlow入门教程：迈向机器智能实战指南

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Othermachinelearninglibraries

TensorFlowisnottheonlyopensourcemachinelearninglibraryoutthere.Belowisa

shortlistofvariousoptionsfordeeplearning:

Caffefocusesonconvolutionalneuralnetworksandimageprocessing,andiswritten

inC++.

ChainerisanotherflexiblemachinelearningPythonlibrarycapableofutilizing

multipleGPUsononemachine.

CNTKisMicrosoft’sentryintotheopensourcemachinelearninglibrarygame.It

usesitsownmodeldefinitionlanguagetobuilddistributedmodelsdeclaratively.

Deeplearning4jisaJavalibraryspecificallyfocusedonneuralnetworks.Itisbuiltto

bescaledandintegratedwithSpark,Hadoop,andotherJava-baseddistributed

software.

NervanaNeonisanefficientPythonmachinelearninglibrary,whichiscapableof

usingmultipleGPUsonasinglemachine.

TheanoisanextremelyflexiblePythonmachinelearninglibrarywritteninPython.It

ispopularinresearch,asitisquiteuserfriendlyandcapableofdefiningcomplex

modelsfairlyeasily.TensorFlow’sAPIismostsimilartoTheano’s.

TorchisamachinelearninglibrarythatfocusesonGPUimplementation.Itiswritten

inLua,andisbackedbyresearchteamsatseverallargecompanies.

It’sbeyondthescopeofthisbooktohaveanin-depthdiscussiononthemeritsofeach

oftheselibraries,butitisworthlookingintothemifyouhavethetime.Theauthorsof

TensorFlowtookinspirationfromseveralofthemwhendesigningtheframework.

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