Table 5. Effect of fully-connected output layer size on validation classification accuracy (%). The mean (standard deviation) of the accuracy for three training runs are reported. (GRU, 2x2 receptive field, 32 filters, 64x32 patch size, single-layer vertical unidirectional RNN, 25% dropout for RNN layer, 50% dropout for fully-connected layer).

FC layer size	Network parameters	Acc. (%)
0	151,177	96.28 (0.02)
32	528,329	96.37 (0.04)
64	1,052,937	96.39 (0.04)
128	2,102,153	96.32 (0.03)