In this final part of the series, we will consider some of the other applications of neural nets and have a look at a few of the more difficult questions facing neural net researchers.During the series we’ve concentrated mostly on image recognition. This is because it is not only one of the most important applications of neural nets, but also the one that’s easy to illustrate, as we can “see” the images.However, as explained in Part 1, the neural net can be considered as a universal logic system, capable (providing that the network has three layers) of learning to produce any truth table you like, see Figure 1.
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