janishar/mit-deep-learning-book-pdf Alternatives

Interactive MIT 6.S191 lab exercises, choose if you want hands-on coding instead of the full theory book.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Modern Chinese-language neural network and deep learning textbook; choose it for an up-to-date theory-and-code alternative to the MIT book.

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

Code-first deep learning book in Jupyter notebooks; choose for a practical, top-down learning path rather than a theory-first text.

The fastai book, published as Jupyter Notebooks

Interactive deep learning book with runnable code; choose if you want hands-on exercises and modern topic coverage.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

University course materials with Keras examples; choose if you prefer structured lectures and labs over a standalone book.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

PyTorch course notebooks; choose if you want a video/course format with PyTorch instead of the MIT theory book.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Open-source PyTorch deep learning handbook in Chinese; choose it for a PyTorch-focused practical introduction.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Older code-oriented intro to neural networks; choose it for a shorter, classical treatment than the MIT book.

Code samples for my book "Neural Networks and Deep Learning"

TensorFlow 2 Chinese-language beginner book; choose it for a code, framework-specific tutorial if you don't need the full theory.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Deprecated first edition of Hands-On Machine Learning; choose the maintained second/third edition instead of this old version.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

First edition of Python Machine Learning; choose the newer editions for up-to-date content, old book code is outdated.

The "Python Machine Learning (1st edition)" book code repository and info resource