One Shot Learning using Memory-Augmented Neural Networks in Tensorflow.
Update: added support for Tensorflow v1*.
Tensorflow implementation of the paper One-shot Learning with Memory-Augmented Neural Networks.
Current Progress of Implementation:
- [x] Utility Functions:
- [x] Image Handler
- [x] Metrics (Accuracy)
- [x] Similarities (Cosine Similarity)
- [x] LSTM Controller and Memory Unit
- [x] Batch Generators
- [x] Omniglot Tester Code
- [ ] Unsupervised Feature Learning through Autoencoders
- [ ] Cattle/New Born Recognition
The benchmark dataset is Omniglot dataset. All the datasets should be placed in the
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap, One-shot Learning with Memory-Augmented Neural Networks, [arXiv]