關於Increased rates of convergence through learning rate adaptation一文的理解
原文地址：http://www.researchgate.net/profile/Robert_Jacobs9/publication/223108796_Increased_rates_of_convergence_through_learning_rate_adaptation/links/0deec525d8f8dd5ade000000.pdf 已經看了CNN，rbm，sae等網絡及算法
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相關文章
- 1. 關於Adaptive Learning Rates(Adagrad)與Feature Scaling的理解
- 2. 【Paper Note】Representation Learning-Assisted Click-Through Rate Prediction (DeepMCP) 論文詳解
- 3. Adaptive Gradient Methods with Dynamic Bound of Learning Rate
- 4. learning rate
- 5. Kaggle上關於Predict click-through rates on display ads的經典探討，主要關於特徵處理的技巧
- 6. 關於facenet 的accuracy 和 validation rate 理解
- 7. 1506.01186-Cyclical Learning Rates for Training Neural Networks
- 8. DeepLearning論文閱讀筆記(一):Cyclical Learning Rates for Training Neural Networks(CLR)
- 9. Sample rate 理解
- 10. 關於《Domain Adaptation with Adversarial Training and Graph Embeddings》的理解