This repository contains an implementation of Matching Networks in Tensorflow 2 (currently in BETA). It is specifically designed for few-shot learning of 1D data sets (e.g. flattend MNIST). However, I've added various tools for users so that they can make minor customizations (e.g. 2D/3D Convolution).
python main.py --train/test --seed=X --C=Y --K=ZIn the config.py file, you should change project_path, result_path, data_path to fit your needs.
Or you may look into MNforADNI.ipynb or Colab for a demo.
These works were supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)
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Project Name : A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)
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Managed by Ministry of Science and ICT/XAIC
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Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics
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Web Site : http://openXai.org
Yoon, Jee Seok
[email protected]
Graduate Student,
Machine Intelligence Lab.,
Department of Brain and Cognitive Engineering,
Korea University, Seoul, South Korea