Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learn
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning Abstract We develop a distributed stochastic gradient descent algorithm for solving non-convex o
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相關文章
- 1. Distributed Stochastic Gradient Descent with Event-Triggered Communication
- 2. Stochastic Gradient Descent
- 3. ADAM A METHOD FOR STOCHASTIC OPTIMIZATION
- 4. Optimization Method -- Gradient Descent with Momentum Gradient Descent （轉）
- 5. Problems with EXC_BAD_ACCESS in CCBReader
- 6. (17)[NIPS16] ADAM: A METHOD FOR STOCHASTIC OPTIMIZATION
- 7. [Scikit-learn] 1.5 Generalized Linear Models - SGD for Regression
- 8. CS231Optimization: Stochastic Gradient Descent筆記
- 9. Truncated Power Method for Sparse Eigenvalue Problems
- 10. （轉）Applications of Reinforcement Learning in Real World