A PyTorch implementation of Attentive Recurrent Comparators
PyTorch implementation of Attentive Recurrent Comparators by Shyam et al.
A blog explaining Attentive Recurrent Comparators
Visualizing Attention
On Same characters
On Different Characters
How to run?
Download data
A one-time 52MB download. Shouldn’t take more than a few minutes.
Train
Let it train until the accuracy rises to at least 80%. Early stopping is not implemented yet. You will have to manually kill the process.