A neat drawing of (schematize in high details my CNN-LSTM architecture, that show the input data being sent and processed by the 1D Convolution, then batch normalized, then activated by the relu function, then to a dropout function, then to the three lstm layers, then activated by a dense layer with the function sigmoid:1.2) (with a landscape:0.2), (stunning, highly detailed, 8k, ornate, intricate, cinematic, dehazed, atmospheric:0.7), oil painting, splash art, teal, (orange:0.3), (by Jeremy Mann, by John Constable, by El Greco:0.7), (acrylic paint:0.4), (by Zdzislaw Beksinski:0.4), (by Hans Baldung and Paul Cezanne:0.8) | Midjourney