learning_rate_adjustment.py

def adjust_learning_rate(network, data):
    current_error = calculate_network_error(network, data)
    update_learning_rate(network, current_error)
    return network

def update_learning_rate(network, error):
    # Advanced learning rate adjustment logic
    pass

def calculate_network_error(network, data):
    # Placeholder for error calculation
    return error