Function deep

rnn_class/mlp_parity.py:127–131

()

    model.fit(X, Y, learning_rate=1e-4, print_period=10, epochs=300, show_fig=True)

def deep():
    # Challenge - find a deeper, slimmer network to solve the problem
    X, Y = all_parity_pairs(12)
    model = ANN([1024]*2)
    model.fit(X, Y, learning_rate=1e-3, print_period=10, epochs=100, show_fig=True)

if __name__ == '__main__':
    wide()