第十七章 深度学习
来自cslt Wiki
教学资料
- 教学参考
- 课件
- 小清爱提问：什么是深度学习（上）？[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247487252&idx=1&sn=b3dac3e2afbe2b7ebff901ba358ee3e0&chksm=c30805d6f47f8cc02d8a284fb416c7767f815861f3656a605378bbf6caf718f11191637b81de&scene=178#rd
]
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扩展阅读
视频展示
演示链接
- ConvNetJS 深度神经网络演示 [1]
- ConvNetJS 代码 [2]
- Leiden Demo for image classification [3]
- CNN explainer[4]
- 可解释机器学习 [5]
开发者资源
- Google developer courses [9]
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" [10]
- 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 [11]
- 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. [12]
- Elman, Jeffrey L. (1990). "Finding Structure in Time". Cognitive Science. 14 (2): 179–211. [13]
- 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. [14]
- 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). [15]
- 王东，机器学习导论,第三章，神经模型，2021,清华大学出版社 [16]
- Christopher M. Bishop, Neural Networks for Pattern Recognition [17]
- Christopher M. Bishop, Pattern Recognition and Machine Learning [18]
