Update README.md

README.md

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 Code accompanying the paper [Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace (Yoonho Lee and Seungjin Choi, ICML 2018)](https://arxiv.org/abs/1801.05558).
 It includes code for running the experiments in the paper (few-shot sine wave regression, Omniglot and miniImagenet few-shot classification).
 
+### Data
+For the Omniglot and MiniImagenet data, see the usage instructions in `data/omniglot_resized/resize_images.py` and `data/miniImagenet/proc_images.py` respectively.
+
+### Usage
+To run the code, see the usage instructions at the top of `main.py`.
+
+For MT-nets, set `use_T`, `use_M`, `share_M` to `True`.
+
+For T-nets, set `use_T` to `True` and `use_M` to `False`.
+
+---
+
 This codebase is based on the [MAML repository](https://github.com/cbfinn/maml).