How do you represent a Neural Network architecture from Scikit-learn academically?

I have the netwrok in the attached image.

mlp = MLPClassifier(random_state=42, batch_size=200, shuffle=True, hidden_layer_sizes=[512, 256, 128,64), max_iter=150, alpha=0.001, solver='adam', activation="relu", learning_rate_init=0.001, verbose=True, validation_fraction=.2, early stopping=True)