README.md

Deep-Learning paper notes

1. SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS (IEEE) 中文Summary整理

2. Compressing Neural Networks with the Hashing Trick 中文Summary重點整理

3. Matching Networks for One Shot Learning (Google DeepMind) 中文Summary重點整理

4. Meta-learning with memory-augmented neural networks (Google DeepMind) 中文Summary重點整理

5. An unsupervised hierarchical feature learning framework for one-shot image recognition (IEEE,2013) *非深度學習 中文Summary重點整理

6. Human-level concept learning through probabilistic program induction (Science,2015) *非深度學習 中文Summary重點整理