Figure 3.

(a) Initial distribution of MOAKS-ES labels before data augmentation. (b) Schematic of network architecture. A flattened 49,152-valued input layer is followed by dense layers with 1,024, 512, 256, and 128 nodes, with 10% dropout after the first dense layer.