Memory Network and Neural Turing Machine
起 神经网络图灵机（NTM）模型和Memory Network 分别由 DeepMind 和Facebook AI research 独立提出。让人惊讶的是，二者出奇一致的采用了外部记忆单元的来提升神经网络的性能。虽然二者结构差异还是比较明显的，但是核心的思想还是有不少共通之处的。 1. Neural Turing Machine NTM的主要思想是，当一个样本输入后，由一个控制器决定从memor
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相关文章
- 1. Neural Network with Memory
- 2. Machine learning Convolusional Neural Network
- 3. Machine Learning（7）Neural network —— Perceptrons
- 4. Attention and Memory in Deep Learning and NLP
- 5. (zhuan) Recurrent Neural Network
- 6. 图灵机Turing Machine
- 7. Machine Learning（7）Neural network —— optimization techniques I
- 8. Attention and Augmented Recurrent Neural Networks
- 9. 【Machine Learning】【Andrew Ng】- notes(Week 4: Neural Network: Representation)
- 10. Chapter 2 - Neural Network and Deep Learning