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Crossing Stagnation//201At that time, Zhao Mucheng did not feel relaxed, nor did he worry about the disclosure of the matter. He was still not sure whether he could come back alive."Why?" I went on to ask.Memory, which can be divided into two types: one is called random, which is responsible for temporarily storing data waiting for CPU processing, and the data will be lost after power failure. It has no memory function. If the CPU is compared to the carriage of a train, RAM is the platform, and the people who go up and down the train are the data waiting to be processed and can only stay on the platform temporarily. The other is called read-only device, which can only read but not write, and its contents will not be lost after power failure. We will not introduce all the other equipment in the host computer here. In short, they all perform their respective duties to make the computer run normally, thus making the computer a good helper in our work and life.OnTouchEvent (): Called in dispatchTouchEvent (), returns a result indicating whether the current event is consumed or not, and if it is not consumed (returns false), the View will not receive the event again in the same sequence of events.For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.