What is this?
A free, open-source Chinese textbook on deep learning built on the official TensorFlow 2 release, pairing theory with hands-on case studies. This repo ships the PDF e-book, the accompanying source code, and the lecture slides.
A free, open-source Chinese textbook on deep learning built on the official TensorFlow 2 release, pairing theory with hands-on case studies. This repo ships the PDF e-book, the accompanying source code, and the lecture slides.Is it just a book to read, or does it come with runnable code?Both: the repo contains the book's PDF together with its companion source code, and part of the code has been converted into IPython Notebook form, so you can follow the chapters by running cells instead of only reading.
Both: the repo contains the book's PDF together with its companion source code, and part of the code has been converted into IPython Notebook form, so you can follow the chapters by running cells instead of only reading.Is it written for TensorFlow 2 or the old 1.x API?For TensorFlow 2: the README stresses the book is based on the official TensorFlow 2 release, not the legacy 1.x API. The repo dates to 2019, and the README does not say how far into later TF 2.x releases the material has been kept up to date.
For TensorFlow 2: the README stresses the book is based on the official TensorFlow 2 release, not the legacy 1.x API. The repo dates to 2019, and the README does not say how far into later TF 2.x releases the material has been kept up to date.Is it suitable for complete beginners?Yes — it is pitched as an entry-level book that combines theory with practice, and the companion video courses are aimed at people with zero background who want to get into AI quickly. Several Chinese universities have even adopted it as an official textbook.
Yes — it is pitched as an entry-level book that combines theory with practice, and the companion video courses are aimed at people with zero background who want to get into AI quickly. Several Chinese universities have even adopted it as an official textbook.Can I read it offline, or is it locked to a website?You can read it fully offline: the repository itself includes the PDF e-book, and the open electronic version can also be downloaded from Baidu Netdisk (extraction code juqs).
You can read it fully offline: the repository itself includes the PDF e-book, and the open electronic version can also be downloaded from Baidu Netdisk (extraction code juqs).Is the book available in English?The book itself is written in Chinese. A Traditional Chinese edition has been published and licensed for Taiwan, and the 'Dragon Book ecosystem' links mention an English Version, but the material hosted in this repo is Chinese.
The book itself is written in Chinese. A Traditional Chinese edition has been published and licensed for Taiwan, and the 'Dragon Book ecosystem' links mention an English Version, but the material hosted in this repo is Chinese.What comes with the book besides the chapters?The repo bundles the PDF, the source code and the lecture slides. There are also companion video courses ('Deep Learning with TensorFlow' and a PyTorch edition) with Q&A and guidance, and teachers can request the original PPT materials by email.
The repo bundles the PDF, the source code and the lecture slides. There are also companion video courses ('Deep Learning with TensorFlow' and a PyTorch edition) with Q&A and guidance, and teachers can request the original PPT materials by email.How popular is this book?Very: the repo ranked first globally on the GitHub daily trending list for several consecutive days, it has been covered by Chinese AI media such as Synced and QbitAI, and more than a dozen universities use it as course material.
Very: the repo ranked first globally on the GitHub daily trending list for several consecutive days, it has been covered by Chinese AI media such as Synced and QbitAI, and more than a dozen universities use it as course material.What are similar projects?DeepLearning, ailearning, Ai-Learn, the-craft-of-selfteaching, TensorFlow-Examples, nndl, d2l-en, handson-ml
DeepLearning, ailearning, Ai-Learn, the-craft-of-selfteaching, TensorFlow-Examples, nndl, d2l-en, handson-mlWhich topics is it in?tensorflow2, machinelearning, courses, deeplearning, textbook, slides, opensource, neural-networks, jupyter-notebook, examples, tensorflow, ebook
tensorflow2, machinelearning, courses, deeplearning, textbook, slides, opensource, neural-networks, jupyter-notebook, examples, tensorflow, ebook