How to get the function 'convolution1dLayer' ?
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I haev been working on the 1D CNN. But in matlab if i try to use the function 'convolution1dLayer'. Im getting a response as,
>> layer = convolution1dLayer(11,96)
Unrecognized function or variable 'convolution1dLayer'.
Did you mean:
>> layer = convolution2dLayer(11,96)
5 Comments
KSSV
on 9 Nov 2021
It is introduced in 2021b.......what version you are using?
Badavath Purnesh Singh
on 9 Nov 2021
Edited: Badavath Purnesh Singh
on 9 Nov 2021
Steven Lord
on 9 Nov 2021
R2021a is not the latest version. Release R2021b came out in September.
Badavath Purnesh Singh
on 10 Nov 2021
KSSV
on 10 Nov 2021
You can install in another path and use both the versions.
Answers (2)
Nabil Ajali
on 25 Jan 2022
0 votes
There are any solution?
7 Comments
Steven Lord
on 25 Jan 2022
If you're using a release prior to the introduction of that layer in release R2021b, the solution is to upgrade.
If you're using release R2021b or later, check the output of ver to determine if you have Deep Learning Toolbox installed. If not, install it (purchasing it if you don't already have a license for it.)
Nabil Ajali
on 25 Jan 2022
Thanks!!!
Nabil Ajali
on 26 Jan 2022
Steven Lord.
I have the R2021b version upgraded and the license is in order. The "Deep Learning Toolbox" is installed and even so the command "convolution1DLayer" not appears.
Thanks
What does this command show when you run it in your installation?
which -all convolution1dLayer
Nabil Ajali
on 27 Jan 2022
As it can see, convolution2dLayer is there, but convolution1dLayer not.
C:\Program Files\MATLAB\R2021a\toolbox\nnet\cnn
>> which -all convolution1dLayer
'convolution1dLayer' not found.
>> which -all convolution2dLayer
C:\Program Files\MATLAB\R2021a\toolbox\nnet\cnn\convolution2dLayer.m
Maybe i can download it or installed manually?
Steven Lord
on 27 Jan 2022
You said "I have the R2021b version upgraded" but the path you showed indicate you're using release R2021a: "C:\Program Files\MATLAB\R2021a". You must use release R2021b or later to be able to use convolution1dLayer.
Nabil Ajali
on 31 Jan 2022
Oh, Maybe I was wrong thinking that I updated. I will confirm this.
Thank you very much!
yes,sir,may be use 2D to replace 1D,such as
imageInputLayer([1024 1 1])
convolution2dLayer([100 1],3,'Stride',1)
2 Comments
Nabil Ajali
on 26 Jan 2022
Thanks yanqui liu, the problem is my data.
I have 1D vectors and i want to make a CNN with a BiLSTM, so i must use de convolution1DLayer.
yanqi liu
on 27 Jan 2022
yes,sir,may be use sequenceInputLayer to get model,such as
layers = [ ...
sequenceInputLayer(numFeatures)
lstmLayer(100,'OutputMode','sequence')
dropoutLayer(0.3)
lstmLayer(50,'OutputMode','sequence')
dropoutLayer(0.2)
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
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