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Scala Symbolic API","Symbolic Configuration and Execution in Pictures","MXNet Architecture","Designing Efficient Data Loaders for Deep Learning","Dependency Engine for Deep Learning","Optimizing Memory Consumption in Deep Learning","MXNet System Architecture","Deep Learning Programming Style","MXNet 0.9 (NNVM) Release Note","Survey of Existing Interfaces and Implementations","Contribute to MXNet","MXNet Community","Join MXNet Development Discussion","Powered By","Bucketing in MXNet","How to | Convert from Caffe to MXNet","MXNet on the Cloud","Develop and Hack MXNet","Environment Variables","Frequently Asked Questions","Fine-tune with Pretrained Models","MXNet FAQ","Training with Multiple GPUs Using Model Parallelism","Run MXNet on Multiple CPU/GPUs with Data Parallelism","How to Create New Operators (Layers)","NNPACK for Multi-Core CPU Support in MXNet","Some Tips for Improving MXNet Performance","Create a Dataset Using RecordIO","Use data from S3 for training","Deep Learning in a 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building blocks","Hybrid - Faster training and easy deployment","Handwritten Digit Recognition","NDArray - Scientific computing on CPU and GPU","Tutorials","Text Classification Using a Convolutional Neural Network on MXNet","NCE Loss","Recurrent Neural Networks","Distributed Key-Value Store","Linear Regression","Matrix Factorization","Handwritten Digit Recognition","Predict with pre-trained models","Callback Function","Custom Iterator Tutorial","Customized loss function","Char RNN Example","Classify Images with a PreTrained Model","Develop a Neural Network with MXNet in Five Minutes","R Tutorials","Handwritten Digits Classification Competition","NDArray: Vectorized Tensor Computations on CPUs and GPUs","Symbol and Automatic Differentiation","Developing a Character-level Language model","Handwritten Digit Recognition","Run MXNet Scala Examples Using the IntelliJ IDE","CSRNDArray - NDArray in Compressed Sparse Row Storage Format","RowSparseNDArray - NDArray for Sparse Gradient Updates","Train a Linear Regression Model with Sparse Symbols","Using Baidu Warp-CTC with MXNet","Speech LSTM","Autoencoders","Generative Adversarial Networks","Large Scale Image Classification"],titleterms:{"case":[49,52,55],"char":119,"class":[3,20,23,26,28,36,51,112,136],"function":[3,18,20,26,28,35,36,51,75,80,103,116,118,130],"long":64,"new":[3,20,29,69],"static":[49,50,52],"try":50,AWS:[61,99],Are:52,For:99,IDE:128,Ops:69,The:[23,26,28,29,34,36,51,99,135],There:52,Use:[42,60,61,68,73,75,89,90,99,102,116,118,126],Using:[40,48,51,56,66,67,72,92,106,108,112,128,132],abnorm:64,about:[56,66],abs:69,access:48,accuraci:136,acknowledg:135,acoust:133,addit:51,advanc:[68,95,97,129,130],advantag:129,adversari:[91,135],aggreg:[4,21,41,111],alexnet:15,algebra:[25,32],algorithm:[29,50],all:60,alloc:50,allow:50,almost:75,amalgam:74,amazon:61,anoth:64,api:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,38,39,40,41,42,43,44,45,51,55,125,131],apk:74,appli:67,approach:[52,105],arbitrari:48,architectur:[47,51],argument:69,arithmet:[26,28,35,36,44],arrai:[26,28,95,129,130,131],ask:64,attribut:[7,26,28,45,69,80,106],augment:83,authent:73,auto:[55,97],autodiff:52,autoencod:134,autograd:[8,19],automat:[95,101,124,125],auxiliari:[37,46],backend:80,backprop:52,backward:[23,69,80,102],baidu:132,basemodul:23,basic:[4,16,21,26,34,36,41,69,95,97,98,106,107,124,125,131],batch:20,beginn:80,between:64,beyond:[51,59],big:52,binari:[40,48,72,86,89,90,92,96],bind:[36,37,46,97,131],bla:83,block:[102,103],bolt:78,boundari:52,broadcast:95,bucket:[59,67],bucketmodul:23,build:[23,60,61,64,70,73,78,83,86,89,90,99,103,119,126,133],caff:60,caffedatait:60,caffeloss:60,caffeop:60,calcul:[37,46],call:60,callback:[9,19,116],can:[50,52],cast:97,cell:[17,34],certain:64,chang:[20,26,28,35,36],charact:126,checkpoint:[34,42,52],choos:52,classif:[108,121,123,136],classifi:120,cloud:[61,99],cluster:61,cnn:[91,117],cntk:54,code:[49,55,74,86,89,90],combin:55,commit:55,commun:[56,63],comparison:[26,36],competit:123,compil:[19,30,52,75],complic:[97,125],compon:51,compos:[7,37,45,46],composit:[36,97,125,131],compress:129,comput:[43,50,64,76,78,90,106,124],concept:47,conclus:[78,117],condit:70,configur:[37,46,73,123],conflict:55,connect:[68,99],consequ:55,construct:97,consumpt:50,contain:13,content:81,context:51,contrib:[11,24,31],contribut:[52,55,66,91,107],contributor:56,control:63,convers:[26,28,129,130],convert:60,convolut:[16,91,105,108,114,135],copi:[64,95,129,130],core:[55,70],correct:50,cost:[48,51],cpu:[64,68,70,71,90,95,106,124],craft:51,creat:[40,44,51,69,72,94,102,106,119,124,135],creation:[26,28,35,36,51,95,129,130],csrndarrai:[28,129],csv:[92,117],ctc:132,cuda:83,cudnn:83,custom:[92,97,102,117,118],customop:[69,102],cxxnet:64,data:[3,12,20,40,48,49,61,63,65,68,71,73,92,96,97,98,105,112,113,114,117,119,123,126,127,129,131,135],dataset:[40,72,135],debug:68,decod:133,deep:[47,48,49,50,52,74,78,97,135],defin:[51,103,105,112,127,131],demo:74,densenet:15,depend:[49,86],deploy:[66,104],descript:69,design:[47,48,49],detect:99,develop:[3,20,57,62,121,126],devic:[42,44,71,74],differenti:[97,101,125],digit:[105,114,123,127],directori:68,discrimin:135,discuss:[49,57],disk:136,distribut:[27,33,61,68,95,111],divis:44,document:55,dot:44,download:[74,85,126,136],dynam:[49,50],easi:104,ec2:61,effici:[48,52,125],element:[26,36,124],enabl:[73,132],end:75,engin:[49,51,63],envargu:51,environ:[63,66,86,89],evalu:[22,26,28,43,94,95,97],exampl:[37,46,50,55,69,80,102,109,116,118,119,128,129,132,133],execut:[7,37,45,46,51,63],executor:10,exist:[49,54],expand:[26,36],expon:[26,28,36],express:52,extend:66,extens:[40,48,72],extract:[64,115,133],factor:113,fallback:131,faq:66,fast:78,faster:104,fcomput:69,featur:[64,115,133],fgradient:69,file:[40,72,74,92,96,136],filesystem:95,fine:65,finfershap:69,finfertyp:69,finplaceopt:69,first:50,fit:135,five:121,flexibl:52,flow:49,fly:48,forc:55,format:[48,96,129,130],forward:[23,80,102],frame:133,free:96,frequent:64,from:[51,60,61,73,83,86,89,90,92,95,99,119],front:75,froum:86,full:75,fuse:34,futur:48,gan:91,gener:[27,33,49,55,91,135,136],get:[23,36,40,99,117],gluon:[11,12,13,14,15,16,17,19,103],gpu:[49,61,63,64,67,68,71,83,86,89,90,95,98,106,124,129,130],gradient:[37,46,51,130],graph:[50,76,97,131],group:97,guid:80,guidelin:[55,136],hack:62,handl:111,handwritten:[105,114,123,127],helper:[3,20],hide:48,high:94,host:61,how:[7,40,45,50,60,64,68,69,75,76,91,99,116,118,125,126],hybrid:104,hybridblock:104,hyperbol:[26,28,36],im2rec:92,imag:[18,19,40,53,72,74,83,92,93,96,120,136],imageit:92,imagenet:136,imagerecordit:[92,93],immut:49,imper:[52,69,78,95],implement:[29,49,54,80,102],improv:71,incept:[15,99],includ:91,increas:64,index:[26,28,35,36,95,129],infer:[36,80,94,97,107,112,119,126,129,130,131],inform:[36,51],initi:[4,21,23,29,41,103,105,111,124],input:[23,37,46,69,71],insight:48,inspect:[129,130,131],instal:[60,61,64,70,85,86,89,90,132],instanc:61,integr:73,intel:71,intellij:128,interfac:[34,37,46,48,51,54,68,94],intermedi:94,intern:36,introduct:80,issu:[56,66],iter:[3,18,20,40,92,117],job:68,join:[26,36,57],julia:[1,83,86,89,90],kaldi:133,kei:[4,21,41,111],k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