自学教材推荐：《动手学深度学习》 - Self-study Material Recommendation："Dive into Deep Learning".
强力推荐一本优质教材：《动手学深度学习》。它包含了以下内容：多层感知机，深度神经网络，循环神经网络，卷积神经网络，以及有关深度学习的其他知识点。每一个知识点都会附带一小段代码。有一点难度，不适合纯小白。
Highly recommending a top-quality textbook: "Dive into Deep Learning". It covers various topics including multilayer perceptron, deep neural networks, recurrent neural networks, convolutional neural networks, and other concepts related to deep learning. Each topic comes with a snippet of code. It is somewhat challenging and not that suitable for beginners.
这本教材主要优点有以下几个：
The primary advantages of this textbook are as follows:
第一，也是非常非常重要的一点，每一个知识点，它都会附带一段随手即用的代码。不仅能帮助读者更深地理解知识点。同时也使得本教材成为了一本工具书，即使是完全不懂的外行，也可以参照代码自己做深度学习。
第二，它支持中英双语。
第三，它同时给出了TensorFlow和pytorch等多种深度学习Python框架的代码，让读者能根据需要选择适合自己的工具进行学习和编程。
Firstly, and this is a crucial point, each topic is accompanied by a handy piece of code. This not only deepens the reader's understanding of the topic but also turns the textbook into a reference book. Even complete novices can follow the code to conduct deep learning.
Secondly, it supports both Chinese and English versions.
Thirdly, it provides code for various deep learning python frameworks like TensorFlow and PyTorch, allowing readers to select tools suitable for their needs for learning and programming.