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Sangmin Lee


Last seen: 約1ヶ月 前 2019 年からアクティブ

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質問


'importTensorFlowLayers' does not support 'tf.keras.layers.Normalization'
Hi, I am using the latest relase version of Matlab, and I think 'importTensorFlowLayer's does not support 'tf.keras.layers.Norm...

3年弱 前 | 2 件の回答 | 1

2

回答

質問


How to get rid of small difference (or error) when I multiply 0.1?
Let's say I have an array. The difference between numbers is 1. If I use a function 'diff' with 'unique', then I know whether...

約3年 前 | 2 件の回答 | 0

2

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質問


In some specific case, preallocation is slower than doing nothing.
Hi, Please see the below screenshot. I think in this specific case, preallocation does not help. for k=1:5 clearvars ...

3年以上 前 | 1 件の回答 | 0

1

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質問


Higher order derivatives for dlarray
Hi, I was able to get first order derivative using 'dlgradient' function. Unfortunately, I checked 'dlgradient' does not sup...

4年弱 前 | 1 件の回答 | 1

1

回答

質問


Speed of custom training loop
Hi, I test several code using 'Train Network Using Custom Training Loop'. I found it is severely slower than the method using...

4年弱 前 | 1 件の回答 | 0

1

回答

解決済み


Times 2 - START HERE
Try out this test problem first. Given the variable x as your input, multiply it by two and put the result in y. Examples:...

4年弱 前

質問


Question for 'Layer Input sizes' in custom neural network layers
According to the 'checkLayer' document, there is a description about 'validInputSize' and I am confused about the below descript...

4年弱 前 | 2 件の回答 | 0

2

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質問


Cannot connect to mongoDB (version 4.2.6, authentification error)
Hi, I am having a difficulty in using database toolbox, espectcially for mongoDB. Now, I am uinsg mongodb version: 4.2.6. ...

約4年 前 | 1 件の回答 | 0

1

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質問


How to check whether a specific variable is empty or not in table type
Hi, please see the follwing figure. As you can see, in this 'table' type variable, some rows does not have 'ls_max_tone...

4年以上 前 | 1 件の回答 | 0

1

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質問


Legend error (does not display 'line' in legend box)
If I simply plot using the below code x=0:0.1:10; >> figure; plot(x,sin(x)) >> legend('on') >> hold on >> scatter(x, cos(x)...

4年以上 前 | 1 件の回答 | 0

1

回答