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Deep Learning with PyTorch Quick Start Guide
PyTorchisextremelypowerfulandyeteasytolearn.Itprovidesadvancedfeatures,suchassupportingmultiprocessor,distributed,andparallelcomputation.ThisbookisanexcellententrypointforthosewantingtoexploredeeplearningwithPyTorchtoharnessitspower.ThisbookwillintroduceyoutothePyTorchdeeplearninglibraryandteachyouhowtotraindeeplearningmodelswithoutanyhassle.WewillsetupthedeeplearningenvironmentusingPyTorch,andthentrainanddeploydifferenttypesofdeeplearningmodels,suchasCNN,RNN,andautoencoders.YouwilllearnhowtooptimizemodelsbytuninghyperparametersandhowtousePyTorchinmultiprocessoranddistributedenvironments.Wewilldiscusslongshort-termmemorynetwork(LSTMs)andbuildalanguagemodeltopredicttext.Bytheendofthisbook,youwillbefamiliarwithPyTorch'scapabilitiesandbeabletoutilizethelibrarytotrainyourneuralnetworkswithrelativeease.
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- Summary
- Implementing a pretrained model
- Pretrained models
- Parameter groups
品牌：中圖公司
上架時(shí)間：2021-07-02 12:40:04
出版社：Packt Publishing
本書(shū)數(shù)字版權(quán)由中圖公司提供，并由其授權(quán)上海閱文信息技術(shù)有限公司制作發(fā)行
