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Coursera: Neural Networks for ML- Lecture 3
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Learning procedure of Neural Networks
1. Learning the weights of a linear neuron
2. Error surface
3. Learning the weights of a logistic neuron
4. Back Propagation
5. How to use the error derivatives
两个问题：
a. Optimization problems
b. Generalization problems
https://blog.sciencenet.cn/blog-1583812-814540.html
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