arXiv (Cornell University)· 2015· Preprint
Unsupervised Representation Learning with Deep Convolutional Generative\n Adversarial Networks
- 7,678citations
- 2015year
Short summary
Deep Convolutional Generative Adversarial Networks (DCGANs) with specific architectural constraints learn a hierarchy of image representations from object parts to scenes, applicable to novel tasks.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science