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In CycleGAN are there two different generators and two different discriminators?
2019 Community Moderator ElectionHow to use GAN for unsupervised feature extraction from images?The Gradient descent different between in Ng coursera and Michael A. Nielsen bookHow to use deep learning to add local (e.g. repairing) transformations to images?GANs and grayscale imagery colorizationCould someone explain to me how back-prop is done for the generator in a GAN?Training Accuracy stuck in KerasCombining different features as input to Neural NetworkHow to train the generator in a recurrent GAN (Keras)Are there real world applications where deep fully connected networks are better suited than ConvNetsWhat is exactly meant by neural network that can take different types of input?
$begingroup$
I am trying to assimilate the contents of this paper. I have a confusion about how many different networks are there in the architecture of CycleGAN. To my understanding, the concept of cycle means that there is only one generator and one discriminator which changes roles (Discriminator as generator; and Generator as Discriminator) depending on what loss we want to calculate (whether Y -> X or X -> Y). However, my friend I have a confusion and we have been debating about this without a consensus. He says that there are totally four different networks. Two generators G1 and G2; and two discriminators D1 and D2. What is the truth ?
neural-network deep-learning gan
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I am trying to assimilate the contents of this paper. I have a confusion about how many different networks are there in the architecture of CycleGAN. To my understanding, the concept of cycle means that there is only one generator and one discriminator which changes roles (Discriminator as generator; and Generator as Discriminator) depending on what loss we want to calculate (whether Y -> X or X -> Y). However, my friend I have a confusion and we have been debating about this without a consensus. He says that there are totally four different networks. Two generators G1 and G2; and two discriminators D1 and D2. What is the truth ?
neural-network deep-learning gan
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am trying to assimilate the contents of this paper. I have a confusion about how many different networks are there in the architecture of CycleGAN. To my understanding, the concept of cycle means that there is only one generator and one discriminator which changes roles (Discriminator as generator; and Generator as Discriminator) depending on what loss we want to calculate (whether Y -> X or X -> Y). However, my friend I have a confusion and we have been debating about this without a consensus. He says that there are totally four different networks. Two generators G1 and G2; and two discriminators D1 and D2. What is the truth ?
neural-network deep-learning gan
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am trying to assimilate the contents of this paper. I have a confusion about how many different networks are there in the architecture of CycleGAN. To my understanding, the concept of cycle means that there is only one generator and one discriminator which changes roles (Discriminator as generator; and Generator as Discriminator) depending on what loss we want to calculate (whether Y -> X or X -> Y). However, my friend I have a confusion and we have been debating about this without a consensus. He says that there are totally four different networks. Two generators G1 and G2; and two discriminators D1 and D2. What is the truth ?
neural-network deep-learning gan
neural-network deep-learning gan
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
Arun KumarArun Kumar
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
Arun KumarArun Kumar
1
asked 4 hours ago
Arun KumarArun Kumar
1
1
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Arun Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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