A PyTorch notebook implementation of Matching Network for One Shot Learning. It is also my first ever Deep learning paper implementation. The model is tested on the Fashion MNIST dataset with 50% of the classes are for training and the other 50% are for testing (the model is train and test on completely seperate set of classes).
Please note that there are a few minor modifications from the original paper for the math to works in batch.