Did you have a look at https://github.com/layumi/2016_GAN_Matlab
Matlab does not currently support Generative Adversarial Neural Networks
4 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
ashkan dashtban
am 21 Apr. 2018
Beantwortet: anbarasi l
am 30 Nov. 2022
I searched a lot to see if Matlab supports GAN but unfortunately it does not. I just found deconvolution layer. does anybody know how I can use that for designing a GAN. I am gonna integrate a GAN block within a DAG network and I am not sure if it is possible. I found also another open source lib 'MatConvNet'. is is possible to use it within DAG? Thank you very much I hope it is not wasting time working on deep learning with Matlab.
web address of DAG : https://blogs.mathworks.com/deep-learning/2018/03/19/creating-a-dag-network-from-dag-parts/
9 Kommentare
Walter Roberson
am 18 Jul. 2018
ashkan dashtban comments to me:
Exactly and we hopefuly expect it to be available in near future!
Kenta
am 15 Mai 2020
As of now, some kinds of GAN such as conditional GAN are available.
Akzeptierte Antwort
Yui Chun Leung
am 4 Apr. 2020
I implemented different types of GANs with Matlab, including DCGAN, cGAN, CycleGAN and more.
2 Kommentare
Atallah Baydoun
am 4 Apr. 2020
Thanks Yui,
I will take a look and see if I can adapt pix2pix to read .mat files instead of jpg and png.
Atallah
Yui Chun Leung
am 4 Apr. 2020
Atallah,
Here is the code used for transforming jpg and png to mat.
https://github.com/zcemycl/Matlab-GAN/blob/master/CycleGAN/LoadAppleOrangeDatabase.m https://github.com/zcemycl/Matlab-GAN/blob/master/Pix2Pix/LoadFacadeDatabase.m
But if you want a dataloader like in pytorch, you have to rewrite the for loop and put the jpg loader in it.
Weitere Antworten (6)
Shounak Mitra
am 6 Jun. 2019
In the next release, we're going to provide some flexbilities to design advanced networks such as GANs, Siamese Networks etc. Hang on :)
2 Kommentare
KH TOHIDUL ISLAM
am 19 Sep. 2019
It is avilabel now, please check this out. Train Generative Adversarial Network (GAN)
2 Kommentare
Atallah Baydoun
am 19 Sep. 2019
Yep, It was the first thing I checked when I got the email about Matlab 2019 b.
Thanks!
Atallah Baydoun
am 7 Jun. 2019
Thanks Mitra for the info.
But when is the next release going to be ?
5 Kommentare
Shounak Mitra
am 10 Jun. 2019
Let's think of it in terms of what important features you need to create GANs - autodifferentiation, custom training loops, and may be custom layers too (if you're curious!). All those things are planned to be supported. And of course, the deep learning layer support will be there.
Atallah Baydoun
am 10 Jun. 2019
Hopefully then Matlab will include an example on GAN generation also.
Wonho Song
am 28 Mai 2020
Hello.
Thanks for these nice codes.
Normally we do have checkpoints and model to save to a file.
- I want to know how to save the model.Is it good to save the paramGen and paramDis? and if it is then how to use as a model.
- 2 .And also I want to know how to test pix2pix.m to a specific image file.Thanks in advance.
1 Kommentar
Atallah Baydoun
am 28 Mai 2020
Hey Wonho,
I ended up by using pix2pix from this link.
https://www.mathworks.com/matlabcentral/fileexchange/74779-pix2pix
It automatically saves the model. You can se from the link that many troubleshooting issues were resolved.
David Willingham
am 27 Aug. 2020
Since R2019b, MATLAB has supported the implementation of GAN's.
Regards,
David Willingham
Deep Learning Product Manager, MathWorks
0 Kommentare
anbarasi l
am 30 Nov. 2022
MATLAB has supported the implementation of CGAN.
You can find information on this in the below link
Train Conditional Generative Adversarial Network (CGAN)
https://in.mathworks.com/help/deeplearning/ug/train-conditional-generative-adversarial-network.html
0 Kommentare
Siehe auch
Kategorien
Mehr zu Image Data Workflows finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!