AMR quality rating with a lightweight CNN
Table 8: Efficiency analysis of two approaches.
['GPU type method', 'GTX Titan LG-LSTM', 'GTX Titan ours', 'GTX 1080 LG-LSTM', 'GTX 1080 ours']
They indicate that our method is significantly more efficient compared with prior work. It consumes approximately 6.6 times less total kWh on a GTX Titan (10 times less on a GTX 1080). Directly related, it also reduces the training time: while prior work requires almost half an hour of training time per epoch (1582 seconds on a GTX 1080), our method requires circa 1 minute training time per epoch (62 seconds on a GTX 1080). A main reason for this is that our model does not depend on recurrent operations and thus profits more from parallelism.