Each section is an executable Jupyter notebook
You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.
An interactive deep learning book with code, math, and discussions
The contents are under revision
You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.
We offer an interactive learning experience with mathematics, figures, code, text, and discussions, where concepts and techniques are illustrated and implemented with experiments on real data sets.
You can discuss and learn with thousands of peers in the community through the link provided in each section.
@book{zhang2019dive, title={Dive into Deep Learning}, author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, note={\url{http://www.d2l.ai}}, year={2019} }