Machine Learning, Formula 1, Neural Networks, Signal Processing, AI.
np.array(data["train"]["labels"]) # turn data into train and testset (inputs_train, inputs_test, target_train, target_test) = train_test_split(inputs, targets, test_size=0.2) # build the network architecture model = keras.Sequential([ # input layer keras.layers.Flatten(input_shape=(inputs.shape[1],