“第十八章 深度学习前沿”版本间的差异
来自cslt Wiki
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| − | *HoggingFace 演示[https://www.kdnuggets.com/2022/05/top-10-machine-learning-demos-hugging-face-spaces-edition.html] | + | ==教学资料== |
| + | *[[教学参考-18|教学参考]] | ||
| + | *[http://aigraph.cslt.org/courses/18/course-18.pptx 课件] | ||
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| + | ==扩展阅读== | ||
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| + | ==视频展示== | ||
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| + | ==演示链接== | ||
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| + | * HoggingFace 演示[https://www.kdnuggets.com/2022/05/top-10-machine-learning-demos-hugging-face-spaces-edition.html] | ||
| + | * Quick style transfer [https://tenso.rs/demos/fast-neural-style/] | ||
| + | * Pix2Pix[https://affinelayer.com/pixsrv/] | ||
| + | * AutoWriter[https://cyborg.tenso.rs/] | ||
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| + | ==开发者资源== | ||
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| + | ==高级读者== | ||
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| + | * 悟道 [http://keg.cs.tsinghua.edu.cn/jietang/publications/ccl2021-wudao-pretrain%20the%20world.pdf] | ||
| + | * 王东,机器学习导论,第三章,神经模型,2021,清华大学出版社 [http://mlbook.cslt.org] | ||
| + | * Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning [https://www.deeplearningbook.org/] | ||
2022年8月6日 (六) 01:08的版本