learning-to-learn | Learning to Learn in TensorFlow | Machine Learning library

Dataset
    ||______
    |       |
 class_0 class_1 ... class_N
    |       |___________________
    |                           |
samples for class_0    samples for class_1

Dataset
    ||
 ___||_________
|       |     |
Train   Val  Test
|_________  

@inproceedings{holla-etal-2020-learning,
    title = "Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation",
    author = "Holla, Nithin and Mishra, Pushkar and Yannakoudakis, Helen and Shutova, Ekaterina",
    book  

python POINT_test.py --index_name ./data/MSindex.npy --dataset_path ./data/MSDataSet_process--model MS_h4_N2.pkl --h 4 --N 2 

--index_name   the index of train, val and test set
--dataset_path   the path of dataset
--model    which model to run
--h   

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

"""4. Transfer Learning with Your Own Image Dataset
=======================================================

Dataset size is a big factor in the performance of deep learning models.
``ImageNet`` has over