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Experiments with Meta-Learning

Searching for beautiful minima

This project uses python 3.5 with Keras/tensorflow for experiments.
Code works only for Keras with tensorflow backend.

To run experiments:

  1. create conda environment or install required packages:
    conda env create -f config/environment.yml
    or
    pip install -r requirements.txt
    Note: if GPU is not used, change 'tensorflow-gpu' to 'tensorflow'
  2. set hyperparameters. As of now they need to be set by manually editing file train.py (this will be refactored)
  3. run: python train.py

For visualizations, see: notebooks folder