Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learn

時間 2020-12-20

標籤算法機器學習論文研讀简体版

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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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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

>>更多相關文章<<