te every small part of the network to give a slightly better answer next time. The small parts are called <em>weights</em> and are just decimal numbers.</p>
        <p>Of course, there is no guarantee that taking a lot of small steps will eventually allow a network to give correct answers. Explorers taking this approach could become mired in numerous gullies taking what looks to be the easiest route, without seeing the bigger picture. Training of neural networks is highly sensitive to architecture, data and