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Xie Shipley


Last seen: 11ヶ月 前 |  2023 年からアクティブ

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How to generate stand alone sub function in codegen
coder.inline("never");

11ヶ月 前 | 0

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How to generate stand alone sub function in codegen
function b= func1() b = func2(); end I use codegen to generate C code for func1, but the generated C code don't have entr...

11ヶ月 前 | 1 件の回答 | 0

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How to prefetch data during network training ?
Is there any method to prefetch data during network training In MATLAB?

12ヶ月 前 | 1 件の回答 | 0

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Does custom mini-batch datastore support Background Dispatch
I foloow This MATLAB tutorial to create my custom mini-batch datastore, and I want to accelerate the training process. My quest...

1年弱 前 | 1 件の回答 | 0

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Can Video calssification using deeplearning run on GPU ?
If there are someone can tell me can this Video Classification example in MATLAB doc run on GPU ? inputSize = [28 28 1]; filte...

約1年 前 | 1 件の回答 | 0

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CUDNN_STATUS_EXECUTION_FAILED while using convolution2dLayer with 2D image sequence(SSCBT)
If there are someone can tell me can this Video Classification example in MATLAB doc run on GPU ?

約1年 前 | 0

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What role does the nnet.layer.CPUFusableLayer play?
I've been through the web search, and I can't find any explanation about nnet.layer.CPUFusableLayer Any help is greatly appreci...

約1年 前 | 1 件の回答 | 0

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CUDNN_STATUS_EXECUTION_FAILED while using convolution2dLayer with 2D image sequence(SSCBT)
lgraph = [... sequenceInputLayer([64 5 1], "MinLength",4) % convolution2dLayer([3,3],1) % If include this conv2d layer...

約1年 前 | 1 件の回答 | 0

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How to realize realtime classification for bidirectional lstm?
layers = [ sequenceInputLayer(64, Minlength=4) bilstmLayer(20) bilstmLayer(10) fullyConnectedLayer(2) s...

約1年 前 | 0 件の回答 | 0

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Different result between `classify` and `classifyAndUpdateState`
I have trained a model and have good accuracy while doing forward inference, using `classify(net, feature_big)` I will get corre...

約1年 前 | 1 件の回答 | 0

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Can I save previous time step input feature in custom layer?
I want to use previous and current time-step input feature togther to improve performance of RNN, if decleare a property named ...

1年以上 前 | 1 件の回答 | 0

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Classification task using 2D sequences input
change `feature` from 48x3x800 to 48x3x1x800

2年弱 前 | 0

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Classification task using 2D sequences input
layers = [ ... sequenceInputLayer([48 3 1]]) convolution2dLayer([3 3], 1) bilstmLayer(20) fullyConnectedLayer(2) classi...

2年弱 前 | 1 件の回答 | 0

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