CodingTrain / CodingTrain/Suggestion-Box
GAN - Generative Adversarial Networks and creative generative art
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描述
Hi Dan,
Here is a link to a video about "Progressive Growing of GANs for Improved Quality, Stability, and Variation". I think it captures the amazing things you can do with neural networks.
Demonstration of GANs
Also, there are many videos online on "deep dreams" An example
All of these videos were created with GANs\Generative Adversarial Networks. These are a class of neural networks, mainly in unsupervised learning. Wikipedia Link
They were used for the Pix2Pix model also see Pix2Pix Article.
Sentdex has recently done a series about unusual neural networks, where he covered GANs. There is also a Computerphile video on this subject. These videos are amazing about learning how GANs work, but they don't cover their inner workings. Also, I haven't seen anyone on YouTube talk about the cool art that can be made with GANs, and the creative coding opportunities.
Maybe it would be interesting to have a mini-series about GANs, something like "Generative Adversarial Networks for Artists". Starting with how GANs really work and then moving on to TensorFlow.js and the hvass-labs tutorials and finally have community contributions and showcase community art.
I know you'll be able to make this interesting and easy to understand.
Hope you like my idea. Best regards,
Eitan
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调研方向
首先查看链接的 Progressive Growing of GANs、Pix2Pix、TensorFlow.js 和 hvass-labs DeepDream 资源。定义一个范围明确的迷你系列,涵盖 GAN 基础、创意编程、TensorFlow.js、所引用的教程以及社区艺术贡献;完成的标准是系列范围和贡献路径已达成一致。
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评估
- 技术栈
- jupyter-notebook, tensorflow
- 领域
- machine-learning
- Issue 类型
- 功能
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 20/100