photo

Xie Shipley


Last seen: 11 months 前 |  自 2023 起处于活动状态

Followers: 0   Following: 0

统计学

  • Thankful Level 2

查看徽章

Feeds

排序方式:

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

11 months 前 | 0

| 已接受

提问


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 months 前 | 1 个回答 | 0

1

个回答

提问


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

12 months 前 | 1 个回答 | 0

1

个回答

提问


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...

12 months 前 | 1 个回答 | 0

1

个回答

提问


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...

1 year 前 | 1 个回答 | 0

1

个回答

已回答
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 ?

1 year 前 | 0

| 已接受

提问


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...

1 year 前 | 1 个回答 | 0

1

个回答

提问


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...

1 year 前 | 1 个回答 | 0

1

个回答

提问


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

1 year 前 | 0 个回答 | 0

0

个回答

提问


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...

1 year 前 | 1 个回答 | 0

1

个回答

提问


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 year 前 | 1 个回答 | 0

1

个回答

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

2 years 前 | 0

| 已接受

提问


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

2 years 前 | 1 个回答 | 0

1

个回答