Release v1.0.0-beta0
D2L has gone 1.0.0-beta0! We thank all the 296 contributors for making this happen!
Forthcoming on Cambridge University Press
Chapter 1--11 will be forthcoming on Cambridge University Press (early 2023).
New JAX Implementation
We added new JAX implementation. Get started with import jax at https://d2l.ai/chapter_preliminaries/ndarray.html
Thank @AnirudhDagar!
New Vol.2 Chapter on Reinforcement Learning
With the advent of ChatGPT (sibling model to InstructGPT fine-tuned using reinforcement learning), you may get curious about how to enable ML to take decisions sequentially:
17. Reinforcement Learning
17.1. Markov Decision Process (MDP)
17.2. Value Iteration
17.3. Q-Learning
Thank Pratik Chaudhari (University of Pennsylvania and Amazon), Rasool Fakoor @rasoolfa (Amazon), and Kavosh Asadi (Amazon)!
New Vol.2 Chapter on Gaussian Processes
“Everything is a special case of a Gaussian process.” Gaussian processes and deep neural networks are highly complementary and can be combined to great effect:
18. Gaussian Processes
18.1. Introduction to Gaussian Processes
18.2. Gaussian Process Priors
18.3. Gaussian Process Inference
Thank Andrew Gordon Wilson @andrewgordonwilson (New York University and Amazon)!
New Vol.2 Chapter on Hyperparameter Optimization
Tired of setting hyperparameters in a trial-and-error manner? You may wish to check out the systematic hyperparameter optimization approach:
19. Hyperparameter Optimization
19.1. What Is Hyperparameter Optimization?
19.2. Hyperparameter Optimization API
19.3. Asynchronous Random Search
19.4. Multi-Fidelity Hyperparameter Optimization
19.5. Asynchronous Successive Halving
Thank Aaron Klein @aaronkl (Amazon), Matthias Seeger @mseeger (Amazon), and Cedric Archambeau (Amazon)!
Fixes and Improvements
Thank @finale80 @JojiJoseph @gab-chen @Excelsior7 @shanmo @kxxt @vBarbaros @gui-miotto @BOLDED @atishaygarg @tuelwer @gopalakrishna-r @qingfengtommy @Mohamad-Jaallouk @biswajitsahoo1111 @315930399 for improving this book!
