MAML

0.1

1. Mathematics and Applications of Machine Learning
2. Introduction
3. First steps: Linear Classification
4. Optimization theory
5. Nonlinear classification problems
6. Neural networks
7. Representation and approximation by neural networks
8. Outlook
- 8.1. Deep learning
- 8.2. Recurrent neural networks
9. References

MAML

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8. Outlook

8. Outlook¶

8.1. Deep learning¶

8.2. Recurrent neural networks¶

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