Variable sized Input sequence

We padded each input seq to length of 10.

Input - [0.001, 0.002, 0.003, 0.004, 0.005]
Padded Input - [0., 0., 0., 0., 0., 0.001, 0.002, 0.003, 0.004, 0.005]

Architecture

Task 1:
	SimpleRNN was used for this task.
	We tried to generalize model by training it on both sin & triangle wave data.

Task 2:
	Bidirectional LSTM was used for AP problem.
	We trained our model on AP progressions with common differernce 1,2,3,4,5.

Results

All graphs are in results folder.