CMU 11-785 L03 Learning the network
Preliminary The bias can also be viewed as the weight of another input component that is always set to 1 z = ∑ i w i x i z=\sum_{i} w_{i} x_{i} z=∑iwixi What we learn: The …parameters… of the netwo
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相關文章
- 1. CMU 11-785 L19 Hopfield network
- 2. CMU 11-785 L02 What can a network represent
- 3. Learning about Graph Network
- 4. CMU 11-785 L09 Cascade-Correlation and Deep Learning
- 5. Learning from the Past: Continaul Meta-Learning with Bayesian Graph Neural network review
- 6. IntroToDataMining(CMU)
- 7. Exploring the Network
- 8. network representation learning（NRL）
- 9. Babysitting the Learning Process
- 10. Andrew Moore CMU machine learning Notes（ML part）