Figure 2. ERISNet.

Sargassum Deep Neural Network. This architecture is made up of nine one-dimensional convolutional blocks (1D-Conv m × n) with “m” filters whose size is “n”, two recurrent blocks (LSTM 64), and finally one Dense (classification) block.