Jayen Ashar jayenashar

## RWA.py
# An implementation of "Machine Learning on Sequential Data Using a Recurrent Weighted Average" using pytorch
# https://arxiv.org/pdf/1703.01253.pdf
#
#
# This is a RNN (recurrent neural network) type that uses a weighted average of values seen in the past, rather
# than a separate running state.
#
# Check the test code at the bottom for an example of usage, where you can compare it's performance
# against LSTM and GRU, at a classification task from the paper. It handily beats both the LSTM and
# GRU :)
	# An implementation of "Machine Learning on Sequential Data Using a Recurrent Weighted Average" using pytorch
	# https://arxiv.org/pdf/1703.01253.pdf
	#
	#
	# This is a RNN (recurrent neural network) type that uses a weighted average of values seen in the past, rather
	# than a separate running state.
	#
	# Check the test code at the bottom for an example of usage, where you can compare it's performance
	# against LSTM and GRU, at a classification task from the paper. It handily beats both the LSTM and
	# GRU :)