第十六章 典型网络结构

教学资料

• 教学参考
• 课件
• 小清爱提问：什么是卷积神经网络？[]
• 小清爱提问：什么是循环神经网络？[]

扩展阅读

• AI100问：什么是卷积神经网络？[1]
• AI100问：什么是循环神经网络？[2]
• AI100问：什么是自编码器？[3]

视频展示

• 全连接网络展示 [4]
• 全连接层展示 [5]
• Disclaimer CNN 展示 [6]
• CNN_Otavio_Good 的CNN展示 [7]

演示链接

• Andrej Karpathy's CNN demo [8]
• Neural Net demo [9]
• Neural Net training demo [10]
• Quick draw, and let NN guess [11]

开发者资源

• Python package for neural nets: PyTorch [12] TensorFlow[13] NeuralLab[14]

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" [15]
• 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 [16]
• 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. [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]