Comments (1)
Hello,
Firstly, I want to express my gratitude for your patience and diligence in pointing out this issue 3 years ago. Your insight was invaluable, and I sincerely appreciate your contribution to the project.
I am writing to inform you that the problem you highlighted regarding the input for training the generator weights has been successfully rectified. You're absolutely right in your understanding. The correct input, [masked_imgs, real], is now being utilized, enabling the generator to learn and generate new images effectively. I want to apologize for any confusion or inconvenience caused by the previous oversight.
d_g_loss_batch = d_g.train_on_batch(x=masked_imgs, y=real)
Thank you once again for your understanding and patience.
Best regards,
from generative_adversarial_networks_101.
Related Issues (5)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from generative_adversarial_networks_101.