A path to unsupervised learning through adversarial networksHumans learn by observing and experiencing the physical world. We can imagine a not-too-distant future where a complete artificial intelligence system is capable of not only text and image recognition but also higher-order functions like reasoning, prediction, and planning, rivaling the way humans think and behave. For machines to have this type of common sense, they need an internal model of how
GitHub - zhangqianhui/AdversarialNetsPapers: Awesome paper list with code about generative adversarial nets
GitHub - arXivTimes/arXivTimes: repository to research & share the machine learning articles
