Awesome
SNAIL with Gluon
Gluon inplementation of A Simple Neural Attentive Meta-Learniner
network structore
building block structure
Requirements
- Python 3.6.1
- mxnet 1.3.1
- mxboard 0.1.0
- tqdm 4.29.0
Application
- Omniglot
Usage
- arguments
- batch_size : Define batch size (defualt=64)
- epochs : Define total epoches (default=50)
- N : the nunber of N-way (default=10)
- K : the number of K-shot (default=5)
- iterations : the number of data iteration (default=1000)
- input_dims : embedding dimension of input data (default=64)
- download : download omniglot dataset (default=False)
- GPU_COUNT : use gpu count (default=1)
- logdir : location of mxboard log file (default=./log)
- modeldir : location of model parameter file (default=./models)
default setting
python main.py
or
manual setting
python main.py --batch_size=24 --epochs=200 ..
Results
10-way 5-shot case
