“第十七章 深度学习”版本间的差异
来自cslt Wiki
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==演示链接== | ==演示链接== | ||
* ConvNetJS 深度神经网络演示 [https://cs.stanford.edu/people/karpathy/convnetjs/] | * ConvNetJS 深度神经网络演示 [https://cs.stanford.edu/people/karpathy/convnetjs/] | ||
| − | |||
* Leiden Demo for image classification [http://destiny.liacs.nl/] | * Leiden Demo for image classification [http://destiny.liacs.nl/] | ||
* CNN explainer[https://poloclub.github.io/cnn-explainer/] | * CNN explainer[https://poloclub.github.io/cnn-explainer/] | ||
| − | + | ||
* Quick style transfer [https://tenso.rs/demos/fast-neural-style/] | * Quick style transfer [https://tenso.rs/demos/fast-neural-style/] | ||
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==开发者资源== | ==开发者资源== | ||
| + | *Georgia Tech, Polo Club (可解释机器学习) [https://poloclub.github.io/] | ||
*Google developer courses [https://developers.google.com/machine-learning/crash-course?hl=zh-cn] | *Google developer courses [https://developers.google.com/machine-learning/crash-course?hl=zh-cn] | ||
| + | * ConvNetJS 代码 [https://github.com/karpathy/convnetjs] | ||
==高级读者== | ==高级读者== | ||
2022年8月5日 (五) 10:27的版本
教学资料
扩展阅读
视频展示
演示链接
开发者资源
高级读者
- Fukushima, Kunihiko (1980). "Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position" [12]
- Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition; AT&T Bell Laboratories [13]
- Hopfield, J. J. (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences. 79 (8): 2554–2558. [14]
- Elman, Jeffrey L. (1990). "Finding Structure in Time". Cognitive Science. 14 (2): 179–211. [15]
- Jordan, Michael I. (1997-01-01). "Serial Order: A Parallel Distributed Processing Approach". Neural-Network Models of Cognition - Biobehavioral Foundations. Advances in Psychology. Neural-Network Models of Cognition. Vol. 121. pp. 471–495. [16]
- Hinton, G. E., & Zemel, R. S. (1994). Autoencoders, minimum description length and Helmholtz free energy. In Advances in neural information processing systems 6 (pp. 3-10). [17]
- 王东，机器学习导论,第三章，神经模型，2021,清华大学出版社 [18]
- Christopher M. Bishop, Neural Networks for Pattern Recognition [19]
- Christopher M. Bishop, Pattern Recognition and Machine Learning [20]
