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Deep Learning with Python: Although this is another English book, it is actually very simple and easy to read. When I worked for one year before, I wrote a summary (the "original" required bibliography for data analysis/data mining/machine learning) and also recommended this book. In fact, this book is mainly a collection of demo examples. It was written by Keras and has no depth. It is mainly to eliminate your fear of difficulties in deep learning. You can start to do it and make some macro display of what the whole can do. It can be said that this book is Demo's favorite!　　姜洪武刚走出监狱大门就遭到一群暴徒的袭击。他们是谁？为什么这样？他不知道！！！Information Theory: I forget which publishing house it was. It is a very thin book and it is very good. There is a good talk about the measurement of information, the understanding of entropy and the Markov process (there is no such thing in the company now, I'll go back and find it and make it up). Mastering this knowledge, it is good for you to understand the cross entropy and relative entropy, which look similar but easy to confuse. At least you know why many machine learning algorithms like to use cross entropy as cost function ~网飞投资的小语种犯罪片要是虎豹啥的，肯定长好几层皮，也够你们分着做衣裳用的。他便解释道：阿水小时候脸上被开水烫伤了，家里没钱抓药，才留了疤，把身子骨也弄垮了。In this book, Eriksson also mentioned when refuting the 10,000-hour law: