# 第五章 深度学习揭秘

> 解析神经网络的工作原理与现代深度学习技术

***

深度学习是当今 AI 最核心的技术，几乎所有令人惊叹的 AI 应用——从 ChatGPT 到自动驾驶——都建立在深度学习之上。本章将揭开深度学习的神秘面纱，帮助读者理解神经网络如何工作，以及支撑其成功的关键技术。

## 本章内容

* **5.1 神经网络基础**：理解人工神经网络的基本结构和工作原理
* **5.2 深度学习训练**：掌握训练神经网络的核心方法
* **5.3 深度学习架构**：了解 CNN、RNN、Transformer 等重要架构
* **5.4 深度学习的局限性**：认识实践中的常见问题与解决方案
* **5.5 深度学习的数学直觉**：理解神经网络背后的数学原理


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://yeasy.gitbook.io/ai_beginner_guide/di-er-bu-fen-he-xin-ji-shu-jie-xi/05_deep_learning.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
