Software developer with a CS degree and an AI agree, both from the University of Amsterdam. This is the account where I keep track of my professional reading (as opposed to leisure reading).
I do NOT work with recruitment agencies, FULL STOP.
Mostly reading books from Manning publishers at the moment, but also re-reading some of the older stuff.
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Chapter 10 covers the useContext hook, the useReducer hook, and custom hooks. It also provides links to online collections of custom hooks, including hooks that help make websites accessible.
Chapter 9 covers forms in React.
Chapter 8 covers events in React. Although React has its own way of handling events, sometimes you have to revert to old-fashioned JavaScript event handling.
Having discussed some React hooks earlier, in Chapter 7 all the hooks in React 18 are discussed shortly. The authors point out that some of these are quite advanced or quite new and will not be discussed in detail.
Chapter 6 covers the useEffect hook.
Chapter 5 shows how a functional React application (as opposed to a class-based React application) can have state, with the useState hook. This is also our first introduction to React hooks.
Chapter 4 covers functional components, and why these are preferred to class-based components.
Chapter 9 discusses spatio-temporal networks. The network presented here can recognize sequences. It is suggested that it could be used in speech recognition. Note that since this book is from the 1990's, there was still a lot of research to be done in that field. I don't know if the STN ended up playing a role in it, but it must have looked like a promising avenue of research at the time.
Chapter 7 covers nullability, including how to deal with nullable values coming from and going to Java code.
Chapter 8 discusses the ART network (Adaptive Resonance Theory). This uses some of the earlier concepts, such as the instar that was introduced in chapter 6.
The idea here is to show an ANS (Artificial Neural System) that can learn new patterns without forgetting old patterns. Late in the chapter, we are told that the network may create an extra Processing Element if necessary.
The first version presented is ART1, which operates on binary values. This is then generalized to ART2, which operates on continuous values. This generalization requires some adaptation of the network structure.
