Machine Learning, Formula 1, Neural Networks, Signal Processing, AI.
13 coefficients and 44 extraction cycles, our input layer will have a length of 13 x 44 = 572 Afterwards, we define three hidden layers with 512, 256 and 64 neurons, respectively. We also specify a 30% dropout layer in order to prevent overfitting. Since the output is binary we specify 1 as the