Chapter 7

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Reading Time: 4.7-4.13
Reading Task: P91-112
Summary of the Content:
This chapter is about what deep learning is. The author introduces the definition and connotation of deep learning, describes its origin and development, and discusses its advantages and difficulties.
Evaluation:
The introduction to the origins and development of deep learning in this chapter is very detailed. The author starts with a simple example that represents the origin of deep learning, the perceptron. Then the author adds new conditions to this example step by step, which also represents the development of the perceptron over time, and finally it achieves deep learning.
The author attaches great importance to interaction with readers. Reading this article is like designing a multi-layer perceptron with the author. The author also added many illustrations to the article to make it more clear and easy to understand. What the author is talking about is a very abstract thing. But the author makes it concrete and gives concrete examples.
The author is particularly good at introducing esoteric theories in simple language so that everyone can understand what he has introduced. Therefore, this book is suitable for people who do not know much about artificial intelligence, not only because the content of the book is relatively simple, but also because the author's language is easy enough to understand. In other words, the author takes into account the situation of his target audience and chooses a way that the target audience can accept. This is also conducive to the better dissemination of knowledge.
Reflection:
Through this book, we can not only learn the artificial intelligence knowledge taught by the author, but also learn the writing skills from the author's words, sentences and writing logic. What the authors illustrate in this chapter applies not only to deep learning, but also to learning other things. In learning, we should first grasp the essence of learning.