Some methods of deep learning and dimensionality reduction
Deep Learning 上一篇主要是講了全連接神經網絡，這裏主要講的就是深度學習網絡的一些設計以及一些權值的設置。神經網絡可以根據模型的層數，模型的複雜度和神經元的多少大致可以分成兩類：Shallow Neural Network和Deep Neural Network。比較一下兩者： Network Name Time complexity theoretical Shallow Neura
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相關文章
- 1. Some methods of deep learning and dimensionality reduction
- 2. [UFLDL] Dimensionality Reduction
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- 4. Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 5. [Scikit-learn] 2.5 Dimensionality reduction - ICA
- 6. 壁虎書8 Dimensionality Reduction
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- 9. 《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》筆記
- 10. CS231n Lecture 15 | Efficient Methods and Hardware for Deep Learning